V N South Gujarat University: A Presentation in PhD Course WorkQuality Evaluation and Ethics in Research and PublicationsCitation index, Journal Impact Factors , H – Index and Impact Factor
This document provides an introduction to research articles and how to identify them. It explains that research articles are published in peer-reviewed scholarly journals and have specific characteristics, such as being lengthy and including references. While scholarly journals may contain other article types like editorials, research articles can be identified by having an abstract, introduction, methods, results, and discussion sections. The document also provides guidance on searching for research articles in databases like ProQuest Central.
The document provides guidance on proper citation and reference formatting. It discusses the importance of accurately citing sources in manuscripts to avoid plagiarism. It also addresses different citation styles, including the Vancouver and Harvard systems, and notes there can be variations in style guidelines between journals. The document provides examples and recommendations for formatting citations within the text and listing complete references at the end, emphasizing the need for consistency.
This document discusses how to evaluate medical journals using impact factors and choose where to publish research. It defines impact factors as the average number of citations to a journal's articles over the past two years. High impact factors indicate more influential journals. The document provides tips on finding impact factors in the Journal Citation Reports database and viewing top journals in various fields. It also gives data on MD Anderson's publications in some of the most highly cited journals and recommends additional factors to consider when selecting a journal for submission.
Prof. sp singh.ph d.course work.2020-21.citation index, journal impact factor...Saurashtra University
Citation index, Journal Impact Factors , H – Index and Impact Factor
-------
RESEARCH, PUBLICATIONS AND QUALITY ASSESSMENT
WIDE VARIATION IN THE ASSESSMENT AND QUALITY JUDGMENT
DIFFRENTIAL LEVEL OF RESEARCH OUTPUT- Reflected by number/frequency/quality of the publication
LACK OF INTEREST
DIFFERNCES IN OVER ALL OBJECTIVES
TYPES OF PUBLICATIONS
TYPES AND QUALITY OF THE JOURNALS
How to increase your h index and paper citation zwentang
Nelson Tansu was able to increase his h-index from 20 to 43 in just 3 years by employing strategies like heavy self-citation of his own work, encouraging students and co-authors to cite his papers, publishing the same work multiple times with self-citations, presenting many non-refereed conference papers containing self-citations, rapidly self-citing in the first two sentences of papers, becoming an editor of journals to coerce citations to his work from authors, and forming citation clubs or cartels with colleagues. Some of these strategies have been criticized as questionable or coercive ways to artificially boost citations and metrics.
h index: Benchmark of productivity and impact of researcher AJAY SEMALTY
In the Indices of research series h index is discussed here. The h-index (sometimes called the Hirsch index or Hirsch number) is one of the several research indices which is used to measure the productivity and impact of of a researcher/ research group/ institution. It’s an index which increases on the basis of citations and number of papers continuously with the passage of time. It is the major benchmark used by the employers for selection/recruitment and/ or assessment of Researchers. This e-module will let you know all about the h index: What, How, Who, why......about h index will be answered here. In the very next video we will cover how to identify h index of a researcher in various platforms. (URL link for video: https://youtu.be/BAhPzxWVtVE) For any query please feel free to write to us at openknowledgeok@gmail.com and please do subscribe our youtube channel.......THANKS FOR GIVING YOUR TIME. --- Team OK
This document discusses various metrics for measuring the impact and importance of academic journals, articles, and authors. It describes journal impact factors, h-indexes, and other bibliometric tools like Web of Knowledge, Google Scholar, and Scopus that provide citation data. It notes that no single tool provides comprehensive coverage and that metrics can be influenced by many factors. The document cautions that impact metrics should not replace peer review and various limitations must be considered. It also introduces altmetrics that measure social media mentions as a new way to assess research impact.
This document summarizes a virtual workshop on thesis writing and publication organized by Lavender Literacy Club and Cape Comorin Trust in collaboration with other institutions. It discusses research metrics, which are quantitative measures used to assess scholarly research outputs and impacts. Various metrics are explained, including journal metrics like impact factor, author metrics like h-index, and alternative metrics. The importance of research profiles, publishing ethics, and increasing research visibility and impacts are also covered.
This document provides an introduction to research articles and how to identify them. It explains that research articles are published in peer-reviewed scholarly journals and have specific characteristics, such as being lengthy and including references. While scholarly journals may contain other article types like editorials, research articles can be identified by having an abstract, introduction, methods, results, and discussion sections. The document also provides guidance on searching for research articles in databases like ProQuest Central.
The document provides guidance on proper citation and reference formatting. It discusses the importance of accurately citing sources in manuscripts to avoid plagiarism. It also addresses different citation styles, including the Vancouver and Harvard systems, and notes there can be variations in style guidelines between journals. The document provides examples and recommendations for formatting citations within the text and listing complete references at the end, emphasizing the need for consistency.
This document discusses how to evaluate medical journals using impact factors and choose where to publish research. It defines impact factors as the average number of citations to a journal's articles over the past two years. High impact factors indicate more influential journals. The document provides tips on finding impact factors in the Journal Citation Reports database and viewing top journals in various fields. It also gives data on MD Anderson's publications in some of the most highly cited journals and recommends additional factors to consider when selecting a journal for submission.
Prof. sp singh.ph d.course work.2020-21.citation index, journal impact factor...Saurashtra University
Citation index, Journal Impact Factors , H – Index and Impact Factor
-------
RESEARCH, PUBLICATIONS AND QUALITY ASSESSMENT
WIDE VARIATION IN THE ASSESSMENT AND QUALITY JUDGMENT
DIFFRENTIAL LEVEL OF RESEARCH OUTPUT- Reflected by number/frequency/quality of the publication
LACK OF INTEREST
DIFFERNCES IN OVER ALL OBJECTIVES
TYPES OF PUBLICATIONS
TYPES AND QUALITY OF THE JOURNALS
How to increase your h index and paper citation zwentang
Nelson Tansu was able to increase his h-index from 20 to 43 in just 3 years by employing strategies like heavy self-citation of his own work, encouraging students and co-authors to cite his papers, publishing the same work multiple times with self-citations, presenting many non-refereed conference papers containing self-citations, rapidly self-citing in the first two sentences of papers, becoming an editor of journals to coerce citations to his work from authors, and forming citation clubs or cartels with colleagues. Some of these strategies have been criticized as questionable or coercive ways to artificially boost citations and metrics.
h index: Benchmark of productivity and impact of researcher AJAY SEMALTY
In the Indices of research series h index is discussed here. The h-index (sometimes called the Hirsch index or Hirsch number) is one of the several research indices which is used to measure the productivity and impact of of a researcher/ research group/ institution. It’s an index which increases on the basis of citations and number of papers continuously with the passage of time. It is the major benchmark used by the employers for selection/recruitment and/ or assessment of Researchers. This e-module will let you know all about the h index: What, How, Who, why......about h index will be answered here. In the very next video we will cover how to identify h index of a researcher in various platforms. (URL link for video: https://youtu.be/BAhPzxWVtVE) For any query please feel free to write to us at openknowledgeok@gmail.com and please do subscribe our youtube channel.......THANKS FOR GIVING YOUR TIME. --- Team OK
This document discusses various metrics for measuring the impact and importance of academic journals, articles, and authors. It describes journal impact factors, h-indexes, and other bibliometric tools like Web of Knowledge, Google Scholar, and Scopus that provide citation data. It notes that no single tool provides comprehensive coverage and that metrics can be influenced by many factors. The document cautions that impact metrics should not replace peer review and various limitations must be considered. It also introduces altmetrics that measure social media mentions as a new way to assess research impact.
This document summarizes a virtual workshop on thesis writing and publication organized by Lavender Literacy Club and Cape Comorin Trust in collaboration with other institutions. It discusses research metrics, which are quantitative measures used to assess scholarly research outputs and impacts. Various metrics are explained, including journal metrics like impact factor, author metrics like h-index, and alternative metrics. The importance of research profiles, publishing ethics, and increasing research visibility and impacts are also covered.
Using Bibliometrics Tools to Increase the visibility of your publicationsCiarán Quinn
Strategies to increase the visibility of your research including using keywords, Bibliometric resources, measuring your H Index,Journal Impact, Article level metrics, Altmetrics, and Academic Social Networks
Presentation covering introduction to bibliometrics. Suggested audience: PGRs, early career researchers, academic staff wanting refresher, research support staff
The document discusses various methods and data sources for performing citation analysis and research evaluation, including using citation data from Web of Science, Scopus, and Google Scholar. It also covers benchmarking research groups using metrics like the h-index and Essential Science Indicators, evaluating researchers based on citation metrics and journal impact factors, and limitations of using citation data and journal impact factors for research assessment.
This document discusses journal impact factors and citation analysis. It explains that journal impact factors are calculated based on the average number of citations to articles published in a journal in the past two years. The impact factor helps evaluate a journal's relative importance but should not be used to evaluate individual papers or researchers. Citation analysis is complicated by differences in citation patterns between fields and a skewed distribution where a few papers receive many citations while most receive few. Benchmarks provided by tools like Essential Science Indicators can help contextualize research metrics like citations but evaluation requires a holistic approach combining both quantitative and qualitative methods.
Citation Metrics: Established and Emerging ToolsLinda Galloway
Citation metrics tools can be used to measure the impact of scholarly work. Established tools like Scopus, Web of Science, and Google Scholar provide citation counts and metrics like an author's h-index. Emerging altmetrics tools measure impact through social media mentions, saves, downloads, and other non-traditional sources. While still new, altmetrics provide a broader view of impact beyond citations alone. Librarians should be aware of both established and emerging citation metrics tools to help faculty evaluate research.
Assessing Research Impact: Bibliometrics, Citations and the H-IndexFintan Bracken
The document provides an overview of bibliometrics and altmetrics for assessing research impact. It discusses common bibliometric measures like the h-index and journal impact factors. It also covers alternative metrics that capture social media mentions and bookmarks. The document recommends publishing in high impact journals, collaborating with other researchers, ensuring work is easily identifiable through profiles, making outputs openly accessible, and communicating research widely to maximize impact.
This document provides a summary of a presentation on bibliometrics. It discusses the basics of bibliometrics including who cites whom and patterns of scholarly research. It then covers major citation databases like Web of Science, Scopus, and Google Scholar and compares their coverage. Free online sources of bibliometric data are also presented including Eigenfactor, SJR, and Publish or Perish. Emerging altmetrics and new bibliometric indicators are discussed. The future of bibliometrics and how to follow new developments are addressed at the end.
Eugene Garfield first proposed the idea of journal impact factors in 1955 to measure the impact and influence of academic journals. In the 1960s, the Science Citation Index was developed to track citations between papers. Starting in 1975, the Journal Citation Reports used Web of Science data to annually rank journals within disciplines based on their impact factors, calculated as the citations in the current year to articles published in the previous two years divided by the total number of citable items published in those two years. While impact factors provide a metric for comparing journals within a field, they should not be used to compare journals across different disciplines due to variability in citation conventions between fields.
Journal Impact Factors and Citation Analysisrepayne
This document discusses various metrics for measuring the impact and importance of academic journals, articles, and authors. It describes journal impact factors, citation analysis tools like Web of Knowledge and Google Scholar, metrics for individual researchers like the h-index, and newer altmetric tools that analyze social media mentions. Limitations of different metrics are also outlined.
This document provides an introduction to bibliometrics for researchers. It aims to look at methods of identifying and interpreting research performance data as a measure of research impact. The outcomes are to use citation analysis tools to evaluate research impact, understand the limitations of bibliometrics, and utilize publishing strategies to improve citation performance. The format includes an introduction to research evaluation, citation impact, journal impact, caveats to bibliometrics, and publishing strategies including open access. It then discusses citation impact, journal impact factors, limitations of bibliometrics, and exercises to find citation counts and impact factors.
This document defines and explains several metrics used to measure the impact and quality of academic journals, including:
1. Impact factor, which measures the average number of citations to recent articles over a 2 year period.
2. 5-year impact factor, eigenfactor, article influence, SJR, and SNIP, which also measure citations but use different calculation methods.
3. Review speed and online publication time, which indicate how quickly journals process submissions and make articles available.
This document discusses various metrics for measuring the impact and productivity of researchers and publications, including the impact factor, h-index, altmetrics, and ORCID IDs. The impact factor is a journal metric based on the average number of citations of articles published in the last few years. The h-index measures both the productivity and citation impact of a researcher or scholar. Altmetrics provide alternative metrics of impact through social media mentions and publications. ORCID IDs assign unique identifiers to individual researchers.
1) Citation metrics have evolved over time from bibliometrics in the 1960s to more recent metrics like altmetrics and webometrics. They are used to assess the influence of published research.
2) Key citation metrics include the journal impact factor, h-index, and article-level metrics like citation counts and altmetrics. Data sources include Web of Science, Scopus, and Google Scholar.
3) Citation indexing links cited and citing articles, allowing researchers to trace the development of ideas over time. Citation analysis helps understand why authors cite other works.
Citation Analysis: From Publication to Impact - Anne-Wil HarzingCharlies1000
This document discusses citation analysis and using Google Scholar as a complement to the ISI Web of Science for measuring research impact. It notes that Google Scholar provides a more comprehensive citation count by including citations from non-journal sources like books and conferences. Additionally, Google Scholar has better coverage of non-English publications. The document recommends using Publish or Perish software to facilitate citation searches and analysis using Google Scholar. It suggests that total citations and h-index are useful metrics for evaluating individual researchers.
Kiat masuk jurnal internasional berindex scopus Yeffry Handoko
The document discusses the life cycle of international journals, including the publication, citation, and evaluation processes. It describes how journals are published online and indexed. It also explains several metrics used to evaluate journals, such as the H-index, i10-index, impact factor, SJR, and SNIP. These metrics are calculated using citation data from databases like Web of Science, Scopus, and Google Scholar to measure a journal's influence and quality.
The document discusses various citation databases and metrics for evaluating publications and journals. It describes Web of Science, Scopus, and Google Scholar as the major citation databases. It provides details on the coverage, citation data included, and analytical tools available for each database. The document also explains journal citation reports, which allow comparison of journals using citation data. Key metrics for journals are defined, including impact factor, eigenfactor, and article influence score. Quartile comparisons that enable evaluation of journal rankings are also outlined.
Sole reliance on citation data provides an incomplete understanding of research. Although citation analysis may be simple to apply, it should be used with caution to avoid it coming under disrepute through uncritical use. Ideally, citation analysis should be performed to supplement, not replace, a robust system of expert review to determine the actual quality and impact of published research.
Research proposal and assessment of outputs jan 2021. prof.s.p.singhSaurashtra University
This is about the preparation of research proposals for PhD research and research projects. Further, it also includes the matrix and Indexes to evaluate research outputs.
Atmiya university. shree m n virani college of science 14 oct 2021. researc...Saurashtra University
Scientific Research: Planning, Methodology and Quality Assessment- Intricacies of Research Methodology
An Invited Talk at the Shree M N Virani College of Science & Atmiya University
And Interaction with the students
Using Bibliometrics Tools to Increase the visibility of your publicationsCiarán Quinn
Strategies to increase the visibility of your research including using keywords, Bibliometric resources, measuring your H Index,Journal Impact, Article level metrics, Altmetrics, and Academic Social Networks
Presentation covering introduction to bibliometrics. Suggested audience: PGRs, early career researchers, academic staff wanting refresher, research support staff
The document discusses various methods and data sources for performing citation analysis and research evaluation, including using citation data from Web of Science, Scopus, and Google Scholar. It also covers benchmarking research groups using metrics like the h-index and Essential Science Indicators, evaluating researchers based on citation metrics and journal impact factors, and limitations of using citation data and journal impact factors for research assessment.
This document discusses journal impact factors and citation analysis. It explains that journal impact factors are calculated based on the average number of citations to articles published in a journal in the past two years. The impact factor helps evaluate a journal's relative importance but should not be used to evaluate individual papers or researchers. Citation analysis is complicated by differences in citation patterns between fields and a skewed distribution where a few papers receive many citations while most receive few. Benchmarks provided by tools like Essential Science Indicators can help contextualize research metrics like citations but evaluation requires a holistic approach combining both quantitative and qualitative methods.
Citation Metrics: Established and Emerging ToolsLinda Galloway
Citation metrics tools can be used to measure the impact of scholarly work. Established tools like Scopus, Web of Science, and Google Scholar provide citation counts and metrics like an author's h-index. Emerging altmetrics tools measure impact through social media mentions, saves, downloads, and other non-traditional sources. While still new, altmetrics provide a broader view of impact beyond citations alone. Librarians should be aware of both established and emerging citation metrics tools to help faculty evaluate research.
Assessing Research Impact: Bibliometrics, Citations and the H-IndexFintan Bracken
The document provides an overview of bibliometrics and altmetrics for assessing research impact. It discusses common bibliometric measures like the h-index and journal impact factors. It also covers alternative metrics that capture social media mentions and bookmarks. The document recommends publishing in high impact journals, collaborating with other researchers, ensuring work is easily identifiable through profiles, making outputs openly accessible, and communicating research widely to maximize impact.
This document provides a summary of a presentation on bibliometrics. It discusses the basics of bibliometrics including who cites whom and patterns of scholarly research. It then covers major citation databases like Web of Science, Scopus, and Google Scholar and compares their coverage. Free online sources of bibliometric data are also presented including Eigenfactor, SJR, and Publish or Perish. Emerging altmetrics and new bibliometric indicators are discussed. The future of bibliometrics and how to follow new developments are addressed at the end.
Eugene Garfield first proposed the idea of journal impact factors in 1955 to measure the impact and influence of academic journals. In the 1960s, the Science Citation Index was developed to track citations between papers. Starting in 1975, the Journal Citation Reports used Web of Science data to annually rank journals within disciplines based on their impact factors, calculated as the citations in the current year to articles published in the previous two years divided by the total number of citable items published in those two years. While impact factors provide a metric for comparing journals within a field, they should not be used to compare journals across different disciplines due to variability in citation conventions between fields.
Journal Impact Factors and Citation Analysisrepayne
This document discusses various metrics for measuring the impact and importance of academic journals, articles, and authors. It describes journal impact factors, citation analysis tools like Web of Knowledge and Google Scholar, metrics for individual researchers like the h-index, and newer altmetric tools that analyze social media mentions. Limitations of different metrics are also outlined.
This document provides an introduction to bibliometrics for researchers. It aims to look at methods of identifying and interpreting research performance data as a measure of research impact. The outcomes are to use citation analysis tools to evaluate research impact, understand the limitations of bibliometrics, and utilize publishing strategies to improve citation performance. The format includes an introduction to research evaluation, citation impact, journal impact, caveats to bibliometrics, and publishing strategies including open access. It then discusses citation impact, journal impact factors, limitations of bibliometrics, and exercises to find citation counts and impact factors.
This document defines and explains several metrics used to measure the impact and quality of academic journals, including:
1. Impact factor, which measures the average number of citations to recent articles over a 2 year period.
2. 5-year impact factor, eigenfactor, article influence, SJR, and SNIP, which also measure citations but use different calculation methods.
3. Review speed and online publication time, which indicate how quickly journals process submissions and make articles available.
This document discusses various metrics for measuring the impact and productivity of researchers and publications, including the impact factor, h-index, altmetrics, and ORCID IDs. The impact factor is a journal metric based on the average number of citations of articles published in the last few years. The h-index measures both the productivity and citation impact of a researcher or scholar. Altmetrics provide alternative metrics of impact through social media mentions and publications. ORCID IDs assign unique identifiers to individual researchers.
1) Citation metrics have evolved over time from bibliometrics in the 1960s to more recent metrics like altmetrics and webometrics. They are used to assess the influence of published research.
2) Key citation metrics include the journal impact factor, h-index, and article-level metrics like citation counts and altmetrics. Data sources include Web of Science, Scopus, and Google Scholar.
3) Citation indexing links cited and citing articles, allowing researchers to trace the development of ideas over time. Citation analysis helps understand why authors cite other works.
Citation Analysis: From Publication to Impact - Anne-Wil HarzingCharlies1000
This document discusses citation analysis and using Google Scholar as a complement to the ISI Web of Science for measuring research impact. It notes that Google Scholar provides a more comprehensive citation count by including citations from non-journal sources like books and conferences. Additionally, Google Scholar has better coverage of non-English publications. The document recommends using Publish or Perish software to facilitate citation searches and analysis using Google Scholar. It suggests that total citations and h-index are useful metrics for evaluating individual researchers.
Kiat masuk jurnal internasional berindex scopus Yeffry Handoko
The document discusses the life cycle of international journals, including the publication, citation, and evaluation processes. It describes how journals are published online and indexed. It also explains several metrics used to evaluate journals, such as the H-index, i10-index, impact factor, SJR, and SNIP. These metrics are calculated using citation data from databases like Web of Science, Scopus, and Google Scholar to measure a journal's influence and quality.
The document discusses various citation databases and metrics for evaluating publications and journals. It describes Web of Science, Scopus, and Google Scholar as the major citation databases. It provides details on the coverage, citation data included, and analytical tools available for each database. The document also explains journal citation reports, which allow comparison of journals using citation data. Key metrics for journals are defined, including impact factor, eigenfactor, and article influence score. Quartile comparisons that enable evaluation of journal rankings are also outlined.
Sole reliance on citation data provides an incomplete understanding of research. Although citation analysis may be simple to apply, it should be used with caution to avoid it coming under disrepute through uncritical use. Ideally, citation analysis should be performed to supplement, not replace, a robust system of expert review to determine the actual quality and impact of published research.
Research proposal and assessment of outputs jan 2021. prof.s.p.singhSaurashtra University
This is about the preparation of research proposals for PhD research and research projects. Further, it also includes the matrix and Indexes to evaluate research outputs.
Atmiya university. shree m n virani college of science 14 oct 2021. researc...Saurashtra University
Scientific Research: Planning, Methodology and Quality Assessment- Intricacies of Research Methodology
An Invited Talk at the Shree M N Virani College of Science & Atmiya University
And Interaction with the students
Bibliometrics, Journal Impact Factors and Maximising the Cite-ability of Jour...Jamie Bisset
Most recent version of slides from Durham "Bibliometrics, Journal Impact Factors and Maximising the Cite-ability of Journal Articles" session.. Delivered as part of the Durham University Researcher Development Programme.
[Last Devlivered November 2014]
Further Training available at https://www.dur.ac.uk/library/research/training/
This document provides an overview of traditional scholarly impact metrics like citation count and impact factor, as well as new developments in altmetrics. It begins with an introduction to why citations are counted and the sources of citation data. It then discusses common metrics for measuring the impact of individuals, journals, and institutions. These include the h-index, journal impact factor, and global university rankings. The document also notes some limitations and issues with traditional metrics and outlines new areas of development in altmetrics.
Showcasing your Research Impact using BibliometricsCiarán Quinn
This document provides an introduction to bibliometrics and altmetrics. It discusses what bibliometrics are and why they are important. It outlines several metrics used to measure research impact, including total citations, h-index, and variations. The document recommends tools for identifying your own citation metrics and potential collaborators. Finally, it notes that bibliometrics only indicate impact and not quality, and should be used alongside other evaluation methods.
Sources of medical knowledge (1 october 2012)jgdaams
This document discusses various resources for finding scientific medical information, including their strengths and limitations. It covers searching the internet, peer-reviewed journals and articles, books, catalogs, bibliographic databases, and clinical practice guidelines. For journals and articles, it discusses assessing quality through metrics like the Journal Impact Factor as well as open access. When searching bibliographic databases, it notes that PubMed contains more records than MEDLINE alone. Overall, the document provides an overview of key sources for medical evidence and factors to consider when evaluating them.
The document discusses the limitations and misuse of journal impact factors (JIFs) in evaluating research. While JIFs were originally intended to help select journals, they are now often inappropriately used to evaluate individual researchers or articles. JIFs are a simple average of citations over time and do not account for differences in citation rates across disciplines. Sole reliance on citation data provides an incomplete understanding of research quality and impact. Citation analysis works best when used to supplement, not replace, expert review.
This document discusses factors to consider when publishing a paper, including journal metrics. It describes several journal metrics like the Journal Impact Factor, CiteScore, SJR, and SNIP. It explains how these metrics were developed and what they measure. The document also discusses how to find journal metrics through databases like Journal Citation Reports, Scopus, and Web of Science. Finally, it mentions other publishing considerations like DHET-accredited journals and predatory journals.
Publishing your Work in a Rapidly Changing Scholarly Communications EnvironmentCourtney Mlinar
This document discusses the rapidly changing scholarly communications environment and issues surrounding publishing research. It notes debates around making federally funded research openly accessible and proposed legislation. It also covers tools for tracking citations and measuring impact, such as the Journal Impact Factor, Eigenfactor, Article Influence Score, and Hirsch index. Various publishing models and players in the field, including open access options, are outlined. Evaluation criteria like the CRAAP test for assessing information sources are presented.
Open Access: Trends and opportunities from the publisher's perspectiveCaroline Sutton
Presentation given for "Scientific Publishing in Natural History Institutions" meeting sponsored by the European Distributed Institute of Taxonomy (EDIT), 22-23 June 2009, Bratislava, Slovak Republic.
This document provides guidance on selecting the right journal to publish a scientific manuscript. It discusses several criteria to consider, including the journal's content, reputation, review process, impact factor, and other metrics. Tools for identifying suitable journals, such as Jane and Endnote's Manuscript Matcher, are also introduced. The document highlights factors like the journal's audience, acceptance rate, and publication costs. It explains metrics like impact factor, Eigenfactor score, and SJR. Open access publications and funds for author fees are also covered.
This slide aims to help and guide students on how to start finding literature review through WOS and SCOPUS. The content is excerpted from various sources available from the internet. This is solely meant for education purpose.
This document discusses measuring the impact of research on the web. It notes some problems with current scholarly communication systems like overreliance on journal impact factors and lack of access to original data. New alternative metrics are emerging that can provide a broader view of impact by tracking online mentions, views and downloads. While these altmetrics have advantages, more data is still needed to fully understand their meaning and relevance. Expert reviews from sources like F1000Prime can also help identify important papers that may be missed by traditional metrics alone. Overall, the internet provides new opportunities but also challenges to properly define and measure research impact.
This document discusses altmetrics and how they can be used to measure the impact of scholarly publications. It provides background on the origins of altmetrics in 2010 and examines how altmetric data from sources like tweets, Mendeley readership counts, and blog citations compare to traditional citation metrics. While altmetrics can provide additional insights, the document also notes limitations such as differences in altmetric baselines across disciplines and the role of automated Twitter accounts.
Durham Researcher Development Programme 2015-16: Bibliometric Research Indica...Jamie Bisset
There is an ever-increasing need to make your research more visible as you establish your career, and metrics to measure your research performance when it comes to thinking about promotion and probation.
This session will focus on bibliometric research indicators (such as the Journal Impact Factor and SCImago, author metrics such as the h-index and g-index) and sources for accessing citation data (Web of Science, Journal Citation Reports and Google Scholar). These may be one of several factors to consider when thinking about where to submit an article manuscript for publication to maximise the potential academic impact of the research, and tools useful to be familiar with if they form part of any research evaluation you and your authored journal papers may be subject to.
An additional section will also look at tips to consider when writing an article abstract to maximise its discoverability and cite-ability.
Learning Outcomes:
• Understanding of meaning and intended uses of bibliometric research indicators
• Understanding of how some key indicators (JIF, H-index) are calculated
• Ability to make a judgement as to the appropriateness and limitations of such indicators
• Ability to use online datasets to view and calculate key bibliometric measures
• Awareness of some factors which can increase the visibility and discoverability of your own research in bibliographic databases.
Previous participants have said:
"The session has helped provide me with the basic information on Journal Impact and where to find information such as an author's h-index. It will be useful for future journal submission consideration."
"This session was very useful for me to become familiar with the topic."
This document summarizes a presentation given by Dr. Fintan Bracken on assessing and maximizing research impact. The presentation defined research impact, outlined methods for measuring impact including bibliometrics, altmetrics and peer review, and provided tips for researchers to increase the visibility and uptake of their work such as publishing in high impact journals, collaboration, open access publishing and use of online profiles and social media. Maximizing impact requires strategic dissemination of research as well as clear identification of authored works.
OA discussion at BILETA 2017, Universidade do Minho, Portugal, focusing on legal journal publication. Co-authored with Catherine Easton and Abhilash Hair
Presented to members of the Psychology department as part of the New Tricks Seminar series (February 2016)
• journal metrics using WoS and Scopus
• article level metrics in WoS, Scopus and Google Scholar, and from publishers and the differences in each. Touch on altmetrics.
• author metrics in the above. Touch on Publish or Perish
Tanya Williamson, Academic Liaison Librarian
This document discusses various ways to maximize the impact of scholarly research publications. It covers journal impact metrics like the impact factor, h-index, and altmetrics. It also discusses open access publishing options like institutional repositories, gold open access journals, and article processing charges. Strategies suggested for maximizing impact include co-publishing internationally, targeting high impact journals, setting up profiles on Google Scholar and ORCID, and utilizing social media and repositories to promote publications.
Finding the Right Journal at the Right Time for the Right WorkSaptarshi Ghosh
JournalFinder helps you find journals that could be best suited for publishing your scientific article. Please also consult the journal’s Aims and Scope for further guidance. Ultimately, the Editor will decide on how well your article matches the journal.
Similar to Vnsgu.pre ph d.course work.27aug2021.a talk on 'quality evaluation and ethics in research and publication' by prof. satya p.singh. (20)
Prof. satya p. singh.final ppt. 17 jan 2022. refresher course. jodhpurSaurashtra University
Changing Spectrum of Teaching and Research in Biosciences:
From Watson-Crick to Biomes
CONTENTS
▪ Land Marks- Milestones
▪ Cell Biology- Cellular forms
▪ Progression of the Dimensions
▪ Global VS India Scenario
▪ Metagenomics & Microbiomes
▪ Approaches-Data Acquisition-Analysis VS Generation
of Knowledge-New Idea
Exploration of diversity and biocatalytic potential of microorganisms from the saline habitats: Approaches and Dimensions.
Invited Talk
At the SKILL ( Scientific Knowledge and Intelligent Logic Laboratory Practices) –Workshop: September 2021, Held at the Department of Microbiology & Biotechnology, Gujarat University, Ahmedabad on 16 September 2021
GiAN Program report: GIAN (GLOBAL INITIATIVES OF ACADEMIC NETWORK) SHORT-TERM...Saurashtra University
GIAN (GLOBAL INITIATIVES OF ACADEMIC NETWORK)
SHORT-TERM COURSE ON ‘METAGENOMICS &
MICROBIOMES’20-25 FEBRUARY 2017
UGC-CAS DEPARTMENT OF BIOSCIENCES,
SAURASHTRA UNIVERSITY, RAJKOT
The participants
enthusiastically participated in this examination and over all their performance
were very good.
In this GIAN-Short Term Course programme, the spectrum of the participants
included, faculty members, scientists from National Research Institutes, Postdoctoral scientist and Ph. D. students from various parts of the country.
This document provides information about a short term course on metagenomics and microbiomes to be held from February 20-25, 2017 at Saurashtra University in Rajkot, India. The course is being organized under the Global Initiative of Academic Networks (GIAN) program by the Ministry of Human Resource Development, Government of India. The course will provide an overview of metagenomics and computational analysis of microbiome data using tools like QIIME and MG-RAST. It will be taught by Dr. Dan Knights from the University of Minnesota and Prof. Satya Prakash Singh from Saurashtra University. Up to 50 faculty members, research scholars and students from fields related to environmental science and
Profile of PhD Students in the research laboratory of Prof. Satya P. Singh
Satya P. Singh, Ph.D.
UGC-BSR Faculty Fellow (Professor Emeritus)
UGC-CAS Department of Biosciences
Saurashtra University
RAJKOT-360 005 Gujarat, INDIA
19 20 nov2018. visit of prof asit pattnaik from the university of nebraska, l...Saurashtra University
One Day Program: Talk/Interaction with the faculty & Students: Department of Biosciences, Saurashtra University
Professor Asit Pattnaik, School of Veterinary Medicine and Biomedical Sciences, and the Nebraska Center for Virology, University of Nebraska-Lincoln, USA
Visited Department of Biosciences, Saurashtra University on 19-20 November 2018 and conducted following academic activities in the Department and other University:
Abstract satya p singh-asm.fems forum.confernce 2021.with acceptance from asm...Saurashtra University
Abstract Accepted for the presentation in Word Microbe Forum
Jointly organized by ASM- FEMS
Extracellular Proteases of Haloalkaliphilic Bacteria and Actinobacteria: Characteristics, Cloning and Expression
Satya P. Singh
Prof. satya p singh.july 2021. gene shuffling & molecular evolution. the...Saurashtra University
Need of the Hour
Exploration of newer habitats, particularly extremes ones for environmental and Biotechnological applications
Evolving the microbial potential by molecular approaches such gene shuffling and Directed evolution
Evolving unique & novel biocatalytic capabilities for industrial & Environmental applications
Abstract of the Invited talk presented by Prof Satya P. Singh, in
One Day International Virtual Conference on ‘Advances in Plant Sciences’
Held by:
Department of Botany, University College of Science, Mohanlal Sukhadia University, Udaipur, Rajasthan, India
ABSTRACT
Attributes of Plant Growth Promoting Rhizobacteria in biocontrol and combating salinity stress
Slide show..prof.s.p.singh.invited talk. udapur international conference.02 j...Saurashtra University
In Invited Talk by Prof. Satya P. Singh on:
Attributes of Plant Growth Promoting Rhizobacteria in biocontrol and combating salinity stress
An International Conference on Recent Trends in Plant Sciences held at M L Sukhadia University, Udaipur, Rajasthan, India
This document provides information about an upcoming International Science Symposium on Recent Trends in Science and Technology to be held on April 8-9, 2021. It will feature talks from laureate Professor Peter Doherty, a Nobel Prize winner in Physiology and Medicine, and Professor Gunnar C. Hansson from the University of Gothenburg, Sweden. The symposium aims to provide exposure to recent developments in various fields of science and technology. Undergraduate and postgraduate students, research scholars, and delegates from academia and industry can participate through oral or poster presentations. There will also be a Q&A session with Professor Doherty on COVID-19.
The document announces a national conference on innovations in biological sciences organized by the UGC CAS Department of Biosciences at Saurashtra University in Rajkot, India on January 10, 2020. It provides details on the organizing committee, registration fees and process, guidelines for abstract and full paper submission, and eligibility for participants. The conference aims to generate awareness of biological resource applications, provide a platform for scientists and students to share ideas and develop collaborations, and celebrate the 50 years of the Department of Biosciences.
Abstracts from sps laboratory for the national conference in biosciences, sau...Saurashtra University
One-Day National Conference on Innovations in Biological Sciences
On 10 January 2020 in the Department of Biosciences, Saurashtra University, Rajkot, Gujarat, India
Abstracts of the papers presented in this conference by the members of Prof. Satya P. Singh Lab
Abstracts from sps laboratory for the national conference in biosciences, sau...Saurashtra University
One-Day National Conference on New Horizons of Biological Sciences
On 26 February, 2019 in the Department of Biosciences, Saurashtra University, Rajkot, Gujarat, India
Abstracts from sps laboratory for the national conference in biosciences, saurashtra university on 26 february 2019
This document provides information about an upcoming one-day national conference on new horizons in biological sciences being organized by the Department of Biosciences at Saurashtra University in Rajkot, Gujarat, India on February 26, 2019. It outlines the patron, guests of honor, organizing committee members, invited speakers and their topics. It also includes a registration form, details about the university and department organizing the conference, call for poster presentations, target attendees, registration fees and payment details, deadline and venue. The goal of the conference is to provide a platform to discuss basic concepts and current research areas in biological sciences and related applications.
Resources on halophilic.haloalaklaiphilic microorganisms.prof. s.p.singh.june...Saurashtra University
Resources on Halophilic.Haloalaklaiphilic microorganisms.Prof. S.P.Singh.June 2021
Exploration and studies of newer habitats, particularly extremes ones for environmental and Biotechnological applications
Evolving and exploration of the microbial potential by molecular approaches such gene shuffling and Directed evolution
Search for unique & novel biocatalytic capabilities for industrial & Environmental applications
Invited talk by prof. s.p.singh.international conference, bhavnagar uni conf....Saurashtra University
Amazing World of Microorganisms in Extreme Environment
Presentation as the Invited Talk at an International Conference, Bhavnagar University, Bhavnagar, Gujarat, India on 28 January 2020
Microbes :Historical Perspective & their Versatility
Exploration & Limitations
Extreme Habitats and Microbial forms
Biochemical & Genetic Characteristics of Enzymes
Metagenomics and non cultivable microorganisms
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Vnsgu.pre ph d.course work.27aug2021.a talk on 'quality evaluation and ethics in research and publication' by prof. satya p.singh.
1. V N South Gujarat University: A Presentation in PhD
Course Work
Quality Evaluation and Ethics in Research and
Publications
Citation index, Journal Impact Factors , H – Index and Impact Factor
Prof. Satya P. Singh
UGC BSR Faculty
(Formerly Professor & Head)
UGC-CAS Department of Biosciences
Saurashtra University, Rajkot, Gujarat, India
Email: satyapsingh@yahoo.com satyapsingh125@gmail.com spsingh@sauuni.ac.in
LinkedIn: https://www.linkedin.com/in/satya-singh-2285a5144/
ResearchGate: https://www.researchgate.net/profile/Satya_Singh5
Google Scholar: https://scholar.google.com/citations?hl=en&user=jiAzOcgAAAAJ
UGC: https://vidwan.inflibnet.ac.in//profile/68903/Njg5MDM%3D
ORICID Id https://orcid.org/0000-0002-7531-2872
2. Ethics in Research and Publications
Formats and Objectivity of the Research
Survey & Distribution of a trend/information/patterns: in a given
section of the society or selected categories of the population, eg.
Education/Literacy/Nutritional status/Occurrence of a
disease/behavioral patterns
Or In a living system-
Exploratory & Observational: Do some thing-Get something
Asking question/ answering a question/Proving a Hypothesis:
Validation & Confirmation of the facts/observations:
Bioinformatics based predictions, any other observation,
Hypothetical/Speculative conclusions
Inventions/ Theory/Principles: some times
accidental/unplanned/un-designed
3. Ethics in Research and Publications
Conceiving the Idea- Original/ Existing knowledge
in different form/Offshoots of the existing knowledge
Designing the Experimental Protocols/
Research Methodologies: Natural Sciences/Social
Sciences/ Languages/etc
Observations and Data Analysis
Conclusions and Inferences
Citations and Acknowledgement
4. Ethics in Research and Publications
Retrieving the information
Using the information's generated and
published by others
Plagiarism: Data ■ Words and Phrases ■ Ideas
and Concepts
Permission form the Authors & Publishers
Acknowledgement
6. RESEARCH, PUBLICATIONS AND QUALITY ASSESSMENT
WIDE VARIATION IN THE ASSESSMENT AND QUALITY JUDGMENT
DIFFRENTIAL LEVEL OF RESEARCH OUTPUT- Reflected by
number/frequency/quality of the publication
LACK OF INTEREST
DIFFERNCES IN OVER ALL OBJECTIVES
TYPES OF PUBLICATIONS: Books, Book Chapters, Review articles, Research
Papers, Comments, Criticisms
TYPES AND QUALITY OF THE JOURNALS: Text books, Reference Books,
edited books, Journals, Review journals
7. Citation index
• A citation index is an index of citations between publications, allowing the
user to easily establish which later documents cite which earlier documents.
• First as legal citation- Shephard citation-1873
• In 1960, Eugene Grafield’s institute for Institute of Scientific Information
(ISI) introduced the first citation index for papers for academic journals.
• Starting with Science Citation Index (SCI) and later expanding to produce
the Social Sciences Citation Index (SSCI).
• The first citation was done by CiteSeer in 1997.Other sources for such data
include Google Scholar.
• Science ► Social Sciences ► Humanities
• Retrieval Informations ► Research Evaluation ► Basis for IF
8. Major citation indexing services
• ISI (now part of Thomson Scientific), which
publishes the ISI citation indexes in print and
compact disc.
• Elsevier, which publishes Scopus .
• They differ widely in cost: the ISI databases and
Scopus are Subscription databases, the others are
freely available online.
9. Citation analysis
• Citation indexes were originally designed for information
retrieval purposes, increasingly used for bibliometric
and other studies involving research evaluation.
• Citation is the basis of the popular journal impact
factor.
• Large body of literature on citation analysis sometimes
called as scientometrics or more specifically
bibliometrices.
• Free citation tools are CiteBase, CiteSeerX, Google
Scholar and Windows Live Academic.
10. Cont.
• The use of citation counts to rank journals was a
technique used in the early part of the nineteenth century.
• Irving Sher showed the correlation between citation
frequency and eminence in demonstrating that
Noble prize winners
Published 5 times the average numbers of papers
Citation 30-50 times
11. Journal Impact Factor
• The impact factor, is a measure reflecting the average
number of citations to articles published in science
and social science journals.
• Journals with higher impact factors ► More
Important than those with lower ones.
• The impact factor was devised by Eugene Garfield,
the founder of the Institute for Scientific
Information (ISI), now part of Thomson Reuters.
12. Thomson Reuters Corporation
A Canada-based multinational media conglomerate
The company was founded in Toronto, Ontario, Canada,
Thomson Reuters was created by the Thomson Corporation’s
purchase of the British company Reuters Group in April 2008 and is
majority owned by The Woodbridge Company, a holding company
for the Thomson family.[9]
13. • Calculation of Impact Factor:
• In a given year, the impact factor of a journal is the average
number of citations received per paper published in that
journal during the two preceding years.
• For example, if a journal has an impact factor of 3 in 2008,
then its papers published in 2006 and 2007 received 3 citations
each on average. The 2008 impact factor of a journal would be
calculated as follows:
• A = the number of times articles published in 2006 and 2007
were cited by indexed journals during 2008
B = the total number of "citable items" published by that
journal in 2006 and 2007.
2008 impact factor = A/B
14. Use & Validity of Impact factor
• To compare different journals: within a certain field
• Highly discipline-dependent:
• Could not be reproduced in an independent audit
• It refers to the average number of citations per paper
• Not a normal distribution
• Self-citation: The frequency of author’s own work
• Journals Self-citation is common- High overlaps in
readerships and authors
15. Editorial policies which alter the impact
factor
• Larger percentage of review articles by the journals: Generally
cited more than research reports
• Review Journals: Highest impact factors in their respective fields.
• Methods in the same Journals: Would enhance IF in their
respective fields.
• “Citable items”: Journals may change the fraction
• The impact factor of the journal Acta Crystallographica Section A
rose from 2.051 in 2008 to 49.926 in 2009, more than Nature
(31.434) and Science (28.103). – Crystal structure determination
• Word- Phrase-software being frequently used
16. Incorrect application of IF
• To evaluate the significance of an individual publication or
to evaluate an individual researcher, may be incorrectly
applied
• A small number of publications are cited much more than
the majority - for example, about 90% of Nature's 2004
impact factor was based on only 25% of its publications,
• Underestimation of the MOST-CITED Articles and
Exaggeration of the citations of the majority of the articles
• Assess the quality of the content of individual articles, not the
reputation of the journal.
• Individual Articles vs Journals Reputation
17. Impact Factor Distortions
• Science 17 May 2013:
Vol. 340 no. 6134 p. 787
DOI: 10.1126/science.1240319
• EDITORIAL
• Bruce Alberts
• Bruce Alberts is Editor-in-Chief of Science.
• San Francisco declaration on research Assessment (DORA)
• "journal impact factor" in judging an individual scientist's work.
The Declaration states that the impact factor must not be used as "a
surrogate measure of the quality of individual research articles,
To assess an individual scientist's contributions, or in hiring,
promotion, or funding decisions."
18. The misuse of the journal impact factor:
Bias journals against publishing important papers in fields (such as social
sciences and ecology) that are much less cited than others (such as
biomedicine).
It takes years to create a new approach in a new experimental context,
during which no publications should be expected.
Such metrics further block innovation because they encourage scientists to
work in areas of science that are already highly populated, as it is only in
these fields that large numbers of scientists can be expected to reference
one's work, no matter how outstanding
19. Nature NEWS 06 FEBRUARY 2020
Highly cited researcher banned from
journal board for citation abuse
Biophysicist Kuo-Chen Chou: repeatedly suggested
dozens of citations be added to papers.
Richard Van Noorden
A US-based biophysicist who is one of the world’s most highly cited researchers
has been removed from the editorial board of one journal and barred as a
reviewer for another, after repeatedly manipulating the peer-review process to a
mass citations to his own work.
On 29 January, three editors at the Journal of Theoretical
Biology (JTB) announced in an editorial that the journal had investigated and
barred an unnamed editor from the board for “scientific misconduct of the highest
order”.
20. Quantifying Long-Term Scientific Impact
Dashun Wang1,2,*, Chaoming Song1,3,*, Albert-László Barabási1,4,5,6,†
Science 4 October 2013: Vol. 342 no. 6154 pp. 127-132
The lack of predictability of citation-based measures frequently
used to gauge impact, from impact factors to short-term
citations:
Is there long-term predictability in citation patterns?
A mechanistic model for the citation dynamics of individual papers that
allows us to collapse the citation histories of papers from different
journals and disciplines into a single curve,
Indicating that all papers tend to follow the same universal temporal
pattern.
The observed patterns not only help us uncover basic mechanisms that
govern scientific impact but also offer reliable measures of influence
that may have potential policy implications.
21. Quantifying Long-Term Scientific Impact
Dashun Wang1,2,*, Chaoming Song1,3,*, Albert-László Barabási1,4,5,6,†
Science 4 October 2013: Vol. 342 no. 6154 pp. 127-132
The lack of predictability of citation-based measures frequently
used to gauge impact, from impact factors to short-term
citations:
Is there long-term predictability in citation patterns?
A mechanistic model for the citation dynamics of individual papers that
allows us to collapse the citation histories of papers from different
journals and disciplines into a single curve,
Indicating that all papers tend to follow the same universal temporal
pattern.
The observed patterns not only help us uncover basic mechanisms that
govern scientific impact but also offer reliable measures of influence
that may have potential policy implications.
22. Quantifying Long-Term Scientific Impact
Dashun Wang1,2,*, Chaoming Song1,3,*, Albert-László Barabási1,4,5,6,†
Science 4 October 2013: Vol. 342 no. 6154 pp. 127-132
The lack of predictability of citation-based measures frequently
used to gauge impact, from impact factors to short-term
citations:
Is there long-term predictability in citation patterns?
A mechanistic model for the citation dynamics of individual papers that
allows us to collapse the citation histories of papers from different
journals and disciplines into a single curve,
Indicating that all papers tend to follow the same universal temporal
pattern.
The observed patterns not only help us uncover basic mechanisms that
govern scientific impact but also offer reliable measures of influence
that may have potential policy implications.
23. Science 25 October 2013:
Vol. 342 no. 6157 pp. 468-472
DOI: 10.1126/science.1240474
•REPORT
Atypical Combinations and Scientific Impact
•Brian Uzzi1,2,
•Satyam Mukherjee1,2,
•Michael Stringer2,3,
•Ben Jones1,4,*
+Author Affiliations
•1Kellogg School of Management, Northwestern University, 2001 Sheridan Road, Evanston, IL 60208, USA.
•2Northwestern Institute on Complex Systems, Northwestern University, 600 Foster, Evanston, IL 60208, USA.
•3Datascope Analytics, 180 West Adams Street, Chicago, IL 60603, USA.
•4National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA 02138, USA.
•↵*Corresponding author. E-mail: bjones@kellogg.northwestern.edu
•ABSTRACT
•EDITOR'S SUMMARY
Novelty is an essential feature of creative ideas, yet the building blocks of new ideas are often embodied in existing
knowledge. From this perspective, balancing atypical knowledge with conventional knowledge may be critical to the
link between innovativeness and impact.
Our analysis of 17.9 million papers spanning all scientific fields suggests that science follows a nearly universal pattern:
The highest-impact science is primarily
grounded in exceptionally conventional combinations of prior work yet simultaneously features an intrusion
of unusual combinations. Papers of this
type were twice as likely to be highly cited works. Novel combinations of prior work are rare, yet teams are 37.7%
more likely than solo authors
to insert novel combinations into familiar knowledge domains.
•Received for publication 14 May 2013.
•Accepted for publication 20 September 2013.
Read the Full Text
24. No more first authors, no more last authors
WORLD VIEW
25 September 2018, Nature 561, 435 (2018) doi: 10.1038/d41586-018-06779-2
Gretchen L. Kiser
If we really want transdisciplinary research, we must ditch the ordered listing of authors that stalls collaborative science,
says Gretchen L. Kiser.
Every academic scientist has heard a tale of someone being shafted on an authorship list, or had it happen to them. Less appreciated is how much the attribution of credit impedes cross-disciplinary
approaches to difficult questions. It creates a negative feedback loop that hinders research. Most scientists agree that research questions and approaches have become more complex, so the need
to engage in expanded team science has increased. I’ve found, however, that there is great reluctance among faculty members to join such efforts. I find myself asking, ‘What if we completely blow
up the way in which we attribute authorship?’ I suspect that if we got rid of first authors, last authors and the fight for asterisks, we might interrupt the negative feedback loop and see more innovation.
Since 2012, I’ve led the Research Development Office at the University of California, San Francisco (UCSF). One of our goals is to bring together researchers of varying backgrounds to encourage
innovative thinking and new approaches. My team identifies and cajoles ‘champions’ to invite colleagues to participate in team-building events. We offer financial and logistical support; we bring in
interesting speakers; we provide drinks and food (and not just pizza!) — all to get scientists to talk to each other about their research, needs and ambitions. But the resource that really matters is not
mine to dispense: credit for scientific contributions.
There are real successes: one of our ‘speed-networking’ events at UCSF introduced neurologist Dena Dubal, who investigates the molecular mechanisms of longevity and neurodegenerative
disease, to psychologist Aric Prather, who researches the effects of stress on health. That led to a project that revealed an association between chronic psychological stress and lower levels of a
longevity hormone. They published that work and continue to collaborate (A. A. Prather et al. Transl. Psychiatr. 5, e585; 2015).
Other teams we’ve helped have received follow-on support from external funders such as the US National Institutes of Health. Surveys tell me that faculty members enjoy our team-building events,
even when they did not expect to, and that they would recommend them to others. Nevertheless, there seems to be an undeclared disincentive for researchers to build unconventional collaborations.
I get frustrated with the disconnect between what we say about the need for transdisciplinary teams to solve complex problems and the reluctance to try something new to build those teams. The
assessment of publications during promotion and tenure decisions is a big part of the problem. Although these processes often have some mechanism to recognize a researcher’s team contributions,
the culture remains largely unchanged from 50 years ago. The gravitas associated with ‘first’ and ‘senior’ authorship is entrenched. What about the middle author who might have significantly altered
the approach? Or the fourth-place author who linked different disciplines? Often these researchers are left to find only self-satisfaction. Many journals now allow, and even require, statements that
explain contributors’ roles in their publications. Taxonomies and standardized vocabularies for describing authors’ roles have been developed. Similarly, promotion and tenure committees are using
contribution narratives in their assessments. These changes are helping. They capture a fuller spectrum of a researcher’s productivity so that evaluators can consider more than where someone sits
in an author list. Still, I’ve had senior faculty members tell me that, even though they look at the contribution narratives, they still expect to see first-author and then senior-author papers when
assessing candidates.
Meanwhile, research projects are starting to incorporate data that no one on the immediate team collected, and there are no settled conventions for crediting outside researchers or incentivizing that
valuable work.
We need a cultural shift to recognize and reward scientists who make their work useful to others, including researchers who might never meet but whose data are used. One way to make this happen
is to get rid of ordered author lists. By developing author contribution taxonomies and narratives, we have already acknowledged the need to reflect the multifaceted nature of authorship. Large
consortia and organizations are adopting contribution frameworks to reflect author roles and participation more accurately. We are also moving to use repository tools that assign authorship to
different types of research output, such as data sets. More effort, creativity and diversity of thought are needed. We should stop trying to apply old attribution models to the innovative ways we now
generate data.
If we can reveal the shape of proteins at atomic resolutions, tweak genes to order and detect cosmic signals from the beginning of time, then surely we can work out better ways to represent author
contributions. We already send complex basic research and clinical data into ‘information commons’ and build computational ‘knowledge network’ tools to inform patient diagnostics and therapeutics.
A well-annotated data set might be combined with other data to expand its impact synergistically. Can we imagine an author attribution method that would use cutting-edge computational tools similar
to those being applied to scientific research itself? A tool that gives credit where credit is due?
If we acknowledge the products of research in more-innovative ways, the value of ‘team-
ness’ might grow in academic culture and the cutting edge will get sharper. Perhaps, then, I
won’t have to cajole anyone to participate in team-building activities.
25.
26. Responses and Other measures of impact
• According to European Association of Science Editors
(EASE)“the journal impact factors are used only - and cautiously –
For measuring and comparing the influence of the entire
journals,
Not for the assessment of single papers, and certainly not for the
assessment of researchers or research programmes
• Cited half-life: the median age of the articles that were cited in
Journal Citation Reports each year.
• Aggregate impact factor for a subject category: it is calculated
taking into account the number of citations to all journals in the
subject category and the number of articles from all the journals in
the subject category.
27. H - Index
• Productivity and impact of the published work of
a scientist or a scholar
• Applied to the productivity and impact of a group
of scientists, such as a department or university or
country.
• The index was suggested by Jorge E. Hirsch, and is
sometimes called the Hirsch index or Hirsch number.
29. • Comparing scientists working in the same field: citation
conventions differ widely among different fields
• Highly cited articles contribute to the h-index: its
determination is a relatively simpler process
• The h-index grows as citations accumulate and thus it depends
on the 'academic age' of a researcher.
• Hirsch suggested that, for physicists, a value for h of about:
10–12 for tenure decisions at major research universities. A val
18 -a full professorship
15–20- a fellowship in the American Physical Society, and
45- Membership in the United States National Academy of
30. Calculating h
• The h-index can be manually determined using citation
databases or using automatic tools
• Subscription-based databases such as Scopus and the
Web of Knowledge provide automated calculators.
• H index means h, it means that h of his Np papers have
at least h citations each
• In addition, specific databases, such as the Stanford
Physics Information Retrieval System (SPIRES) can
automatically calculate h-index for researchers working in
High Energy Physics.
31. Advantages
• Bibliometric indicators: The h-index was intended to
address the main disadvantages of other, such as total
number of papers or total number of citations.
• Quality and sustainability of the scientific output:
simultaneously
• Much less affected by the methodological papers-
proposing successful new techniques, methods or
approximations, which can be extremely highly cited.
32. Criticism
• Number of authors: The h-index does not account
• Does not account for the typical number of citations
in different fields: Different fields, or journals,
traditionally use different numbers of citations
• Bounded by the total number of publications:
citations made in a negative context and citations made
to fraudulent or retracted work
• Researcher in the same stage of their careers: The
index intended as a tool to evaluate researchers in the
same stage of their careers
33. Impact Factor: Indian Contest
• Impact factor is an index based on the frequency with
which a journal’s articles are cited in scientific
publications, a marker of journal quality
• It provides quantitative tools for ranking, evaluating,
categorizing and comparing journals
• A tool for the management of library journal
collections
• In research, the impact factor provides quantitative
evidence for editors and publishers
34. Limitations
• Review articles generally are cited more frequently than
typical research articles.
• Method articles: It is widely believed that methods
articles attract more citations than other types of articles
• Journal self-citation.
• It does not distinguish between letters, reviews, or
original research.
• The coverage is very uneven.
35. References
• The Thomson Scientific Impact Factor. Available at
http://scientific.thomson.com/free/essays/journal
citation reports/
• Journal self-citation in the Journal Citation Reports®
– Science Edition (2002): A Citation Study from The
Thomson Corporation.
• Impact Factor. Available on
http://en.wikipedia.org/wiki/
37. Citation Calculation
The meaning of citations is not simple and citation‐based statistics are not nearly as
"objective" as proponents assert.
Research usually has multiple goals and it is therefore reasonable that its value must be
judged by multiple criteria.
38. Cited Reference Searching
Traditional search
1982
paper 1957
paper
1996
paper 1982
paper
1996
paper
1957
paper
1987
paper
2004
paper
2001
paper
1993
paper
Cited reference search
39. Why use this type of search?
Forward and backward in time: Allows you to move Forward
and backward in time, discovering relationships between published
works as determined by the articles authors
Find new, unknown information based on older, known
information
Find variant citations
Search cites to non-journal literature
Backward through “Cited References”
Uses cited references as subject terms
Explore hidden connections between research papers.Give the
strength to the researcher
40. Citation Reports
• Create reports
• Available for:
– Search
– Search within Results
– Author Finder
– Refine/Analyze
• Not available for:
– Cited Reference Search
– Citing Articles Summary
– Related Records Search Results
41. • Common use of citation analysis is to determine the impact
of a single author on a given field by counting the number of
times the author has been cited by others
• To explore the impact of their field
• To examine the effects of a set of researchers
• To study the impact of a particular paper
• To help the government to find top experts in the field in
order to set up a group of scholars
Use
42.
43. • Consists of 5 databases
– Science Citation Index Expanded
• 6,650 journals since 1900
– Social Sciences Citation Index
• 1,950 (+3,300) journals since 1956
– Arts & Humanities Citation Index
• 1,160 journals (+6,800)
– Index Chemicus (chemical structures)
– Current Chemical Reactions (synthetic methods)
Web of Science
44. • 100,000s NEW cited references added each week
• Generate citation reports
• Eliminate self-citations
• ‘My Citation Alerts’
• Author-finder (The Distinct Author Set feature)
– “A discovery tool showing sets of papers likely written by
the same person. Citation data is analyzed to create these
sets. This feature should be used as a tool to focus your
search rather than as a definitive list of a specific author's
works.”
Web of Science: citation analysis
45. • Search for relevant articles on the topic
• Limit articles by location and institution
• Rank articles by times cited
• List authors of most often cited articles
• Create citation reports on individual authors
• Rank authors according to citations
• Choose appropriate scholars from list
Web of Science: methodology
46.
47.
48.
49.
50.
51.
52. Pros
Citation report provides clear data and graphs over time
Author finder helps differentiate different authors with same name
‘My Citation Alerts’ allows personalization
Results page allows for refining
Cons
Still difficult to differentiate authors with same name
Cannot produce author-based citation reports from a list of
articles
Can limit by country but cannot exclude countries
Difficult to locate controlled vocabulary used in subject
indexing
Web of Science: Evaluation
53. Coverage of:
• Social sciences
• Life sciences
• Health sciences
• Physical sciences
Scopus includes research literature published in:
• 15, 000 peer reviewed academic journals
• 1,200 Open Access journals
• 500 conference proceedings
• Over 600 trade publications
• book chapters and 200 book series
• 386 million web sources (author homepages, university sites, Open
Archives Initiative)
• 22 million patents
Includes citation analysis for journals and authors from 1996 and on.
Multidisciplinary Database
54. What is the Scopus Citation Tracker?
• It enables users to track data year by year for a specific author or topic.
With the Scopus Citation Tracker, users can:
• Identify most highly cited author in a field
• Find real-time citation data of articles and authors of interest
• Find out what topics are hot in various subject areas
• Find out what subjects are being cited by other subjects
• See what are the top cited works in 26 pre-selected fields
Also generates the h-graph:
• The h-index was developed by J.E. Hirsch.
Hirsch defines the h index as follows:
“The h-index is based on the highest number of papers included that have had at least the same
number of citations. “
• For Example: An h-graph for a group of selected documents or selected author(s) with an h
index of 12 means that out of the total number of documents selected to produce the graph, 12
of the documents have been cited at least 12 times.
Citation Tracker Tool
55. Once you have refined your results, you can select one, some or all of the hits and run a citation
analysis using the “citation tracker” option.
Citation Analysis Step 1
56. The Citation Overview page allow exclusion of “self-citations”, date range manipulation and 4 different ways to
sort the results.
Citation Analysis Step 2
58. At this point, the searcher must make a decision: to track the authors whose works
appear most often in the results or the authors whose works are ones most often
cited?
Vs.
Author Tracking –
Decision Point
62. Personal observations:
Cons:
• Citation analysis from 1996 on- so landmark articles from earlier years may
not show up.
• Does not allow automatic generation of top-cited authors’ list from search
results
• Poor ability to limit to a country (academics move around and publish in
countries other than their country of residence)
• The citation analysis page does not have the author’s name displayed
Pros:
• Generates a list of keywords relevant to the term searched (enriches searcher’s
vocabulary and assists in refining search query
• Allows very precise control and manipulation of results through “refine
results” options
• Allows personalization, list-saving and automatic alerts
• Good multidisciplinary coverage of topics in one search (e.g.- see who is
writing about sustainable agriculture in a variety of fields)
• Has function to eliminate self citations by the authors being analyzed
• Precise author indexing (few instances of numerous variations in authors’
names)
Multidisciplinary Database
63. Google Scholar
• Articles from some of CrossRef’s partipating publishers and others that
have made content available to Google Scholar
• More medicine and scientific resources than humanities and social
science
• Preprints, e-prints, university publications
• Books from OCLC’s Open WorldCat
the most accessible content, i.e., open access (OA) and public domain
collections. ... WorldCat Local helps us prioritize which copyright holders
to approach.
• Citations extracted from crawled articles using “special algorithms”
64. How scholarly is Google Scholar?
• Google says it has “peer-reviewed papers, theses, books,
abstracts and articles…”
• Unscholarly items find their way into GS
• Ranking of items gives weight to number of times cited,
and the number of versions (preprints, conference papers,
mirror sites)
• Never assume…
65. Go to Google Scholar – http://scholar.google.com/
Do a search for a particular name and topic and then add to the end of the search “-author:”
Example searches:
author: S.P.Singh
Google Scholar Articles Add id and password in Gmail
account Add name of author Get Result
Citations in Google Scholar:
66.
67.
68. Web of Science Scopus Google Scholar
◦Science Citation Index
Expanded
◦Social Sciences
Citation Index
◦Arts & Humanities
Citation Index
◦Index Chemicus
(chemical structures)
◦Current Chemical
Reactions (synthetic
method)
Social sciences
Life sciences
Health sciences
Physical sciences
Articles from some of CrossRef’s partipating
publishers and others that have made content available
to Google Scholar
More medicine and scientific resources
than humanities and social science
Preprints, e-prints, university publications
Books from OCLC’s Open WorldCat
6,650 journals since 1900
1,950 (+3,300) journals
since 1956
1,160 journals (+6,800)
15, 000 peer reviewed academic
journals
1,200 Open Access journals
500 conference proceedings
Over 600 trade publications
book chapters and 200 book series
386 million web sources (author
homepages, university sites, Open
Archives Initiative)
22 million patents
Includes citation analysis for
journals and authors from 1996 and
on
Citations extracted from crawled articles using “special
algorithms”
GS also includes non scholarly material as well as
books
Google Scholar has a wider coverage of Open Access (OA)
web documents and non-journal documents more useful for
citation tracking across full text documents
69. Research Team
Dr. Sangeeta Gohel, Assistant Professor
Dr. Vikram Raval, DST Young Scientist (Now at Gujarat University)
Dr. Aparna Singh, DST Women Scientist ( Now Asstt. Prof, Surat)
Dr. Kalpana Rakholiya, SERB- National Post-Doctoral Fellow
Ms. Kruti Dangar, DST Women Scientist (Now Asstt. prof,
Saurashtra University)
&
Ph.D./M.Phil/M.Sc. Students
70. Dr. Bharat Joshi (Canada)
Dr. Manish Bhatt ( Canada)
Dr. Rajesh K. Patel ( Professor, VNUSG, Surat)
Dr. Anju Mittal ( Scientist, USA)
Dr. Mital Dodia ( Scientist, Canada)
Dr.. Jignasha Thumar ( Asstt. Prof. Gandhinagar)
Dr. Rupal Joshi (ZRC, Ahmedabad)
Dr. Chetna Rajyaguru (Associate Prof. Rajkot)
Ms. Geera Mankad ( Associate Prof. Rajkot)
Dr. Chirantan Raval ( Asst Prof., Govt College)
Dr. Megha Purohit ( Scientist and Entrepreneur,
Canada)
Dr. Himanshu Bhimani ( Associate Prof. Navsari
Ag Univ,)
Dr. Bhavtosh Kikani (Asstt Prof. CHARUSAT)
Dr. Vikram Raval (Asstt Prof. Gujarat University)
Dr. Sangeeta Gohel (Asstt Prof. Saurashtra
University)
Dr. Sandeep Pandey (Scientist, Pharma, Daman)
Dr. Viral Akbari ( Scientist, UK)
Dr. Rushit Shukla (Asstt Prof. Christ College,
Rajkot)
Dr. Amit Sharma (Scientist, ZRC, Ahmedabad)
Dr. Kruti Dangar (Asstt Prof. Saurashtra
University)
Dr. Atman Vaidya ( Biology Teacher &
Entrepreneur)
Dr.r. Hitarth Bhatt (Asstt Prof. Virani College,
Rajkot)
Dr. Rupal Pandya (USA)
Dr. Foram Thakrar ( Ahmedabad)
Dr. Dalip Singh Rathore ( GBRC, Gandhinagar)
Acknowledgements : Ph.D. Students
71. Financial Support
DBT, UGC, DST, MoES, GSBTM,
Saurashtra University, Rajkot
Research Collaborations
•IIT Delhi, New Delhi: Prof. S. K.Khare
•DUSC, New Delhi: Prof. Sanjay Kapoor
•NFRI, Tsukuba, Japan: Dr. Kiyoshi Hayashi ( Now at
Toyo University, Japan)
•Griffith University, Australia
•JNTU Hyderabad, Prof. Ch. Sasikala
•Central University of Hyderabad, Prof. Ch. Rama Rao
72.
73. Recent Publications
( Cumulative Impact factor : 201, H-Index: 31)
2021
Dwivedi, Purna, Sharma, A. K. and Singh, S.P. 2021. Biochemical properties and repression
studies of an alkaline serine protease from a haloalkaliphilic actinomycete, Nocarpdiopsis
dassonvillei subsp. albirubida OK-14. Biocatalysis and Agricultural Biotechnology,
Accepted. 07 June 2021 (Elsevier; IF: 0.90)
Kikani, B.A. and Singh, S.P. 2021. Amylases from thermophilic bacteria: Structure and
Function Relationship. Critical Reviews in Biotechnology, In Press, 30 April 2021 (Taylor &
Francis; IF: 8.102)
Rathore, D. R., Sheikh, M., Gohel G.D, and Singh, S.P. 2021. Genetic and phenotypic
heterogeneity of the Nocardiopsis alba strains of sea water. Current Microbiology, 78: 1377-
1387 (Springer; IF: 1.75), DOI: 10.1007/s00284-021-02420-0
•
74. 2021
•
Chauhan, J.V., Mathukiya, R. Singh, S.P. and Gohel, S.D. 2021. Two steps purification,
biochemical characterization, thermodynamics and structure elucidation of thermostable
alkaline serine protease from Nocardiopsis alba strain OM-5. International Journal of
Biological Macromolecules (IJBIOMAC), 169: 39-50 (Elsevier; IF: 5.16),
https://doi.org/10.1016/j.ijbiomac.2020.12.061 , Available On-Line 12 Dec 2020.
Rathore, D R and Singh, S.P. 2021. Kinetics of growth and co-production of amylase and
protease in novel marine actinomycete, Streptomyces lopnurensis KaM5. Folia
Microbiologica (Springer; IF: 1.70), https://doi.org/10.1007/s12223-020-00843-z
75. 2020
Sharma, A.K. Kikani, B.A. and Singh S.P. 2020, Diversity and Phylogeny of Actinomycetes of
Arabian Sea along the Gujarat Coast. Geomicrobiology Journal (Taylor & Francis, IF 1.90),
DOI: 10.1080/01490451.2020.1860165
Raiyani, Nirali and Singh S.P. 2020, Extraction of environmental DNA, construction of
metagenomic libraries and functional screening of enzymes from salt pan soil, Indian Journal
of Geo-Marine Sciences, Accepted (NISCARE, CSIR, IF 0.50),
Raiyani, Nirali and Singh S.P. 2020, Taxonomic and functional profiling of the microbial
communities of Arabian Sea: A Metagenomics approach
Journal: Genomics (Elsevier, IF 6.20), 112:4361- 4369
https://doi.org/10.1016/j.ygeno.2020.07.024
Bhatt, H.B. and Singh S.P. 2020, Cloning, Expression and structural elucidation of a
biotechnologically potential alkaline serine protease from a newly isolated Haloalkaliphilic
Bacillus lehensis JO-26, Frontiers in Microbiology (IF 4.25), 11:1-16,
https://doi.org/10.3389/fmicb.2020.00941
76. 2020
Sharma, A.K. Kikani, B.A. and Singh S.P. 2020, Biochemical, thermodynamic and structural
characteristics of a biotechnologically compatible alkaline protease from a haloalkaliphilic,
Nocardiopsis dassonvillei OK-18 International Journal of Biological Macromolecules
(IJBIOMAC), 153:680-696, DOI: 10.1016/j.ijbiomac.2020.03.006 (IF 5.16)
Pandya, Rupal D. and Singh S.P. 2020, Pigment production by an extreme halophilic archaeon
on Halorubrum sp. J4.2.2 from little Rann of Kutch, Gujarat, India. Research Journal of
Biotechnology, 15(1):88-100. E-ISSN: 2278-4535 Print ISSN: 0973-6263
77. 2019
Thakrar, F.J. and Singh S.P. 2019. Catalytic, thermodynamic and structural properties of an
immobilized and highly thermostable alkaline protease from a haloalkaliphilic actinobacteria,
Nocardiopsis alba Tata-5. Bioresource Technology, 278:150-158 (IF 5.802)
Sheikh, M., Rathore, D.S., Gohel, S.D. and Singh S.P. 2019. Cultivation and characteristics of
the Marine Actinobacterial from the Sea water of Alang, Bhavnagar. Indian Journal of Geo-
Marine Sciences (CSIR-NISCARE), 48(12), 1896-1901(IF 0.4).
Rathore, D.S., Sheikh, M.A., Gohel, S.D. and Singh, S.P. (2019) Isolation strategies, abundance
and characteristics of the marine actinomycetes of Kachhighadi, Gujarat, India. Journal of
Marine Biological Association of India (JMBAI), CMFRI Cochin, India 61(1): 21-27
78. 2018
Gohel, S. D. and Singh S.P. 2018. Thermodynamics of a Ca2+ dependent, highly thermostable
and detergent compatible purified alkaline serine protease from Nocardiopsis xinjiangensis
strain OM-6. International Journal of Biological Macromolecules (IJBIOMAC),
https://doi.org/10.1016/j.ijbiomac.2018.02.157, 113:565-574 (IF 3.00)
Gohel, S. D. and Singh S.P. 2018. Molecular phylogeny and diversity of the salt-tolerant
alkaliphilic actinobacteria inhabiting Coastal Gujarat, India. Geomicrobiology
Journal, DOI: 10.1080/01490451.2018.1471107, 35:9, 775-789 (IF 1.5)
Thakrar, F.J., Kikani, B.A., Sharma, A.K. and Singh S.P. 2018. Stability of alkaline proteases
from haloalkaliphilic actinobacteria probed by circular dichroism spectroscopy. Applied
Biochemistry and Microbiology (Russia), 54(6), 591-602 (IF 0.68)
Sheikh, M., Rathore, D. S., Gohel, S. D. and Singh S.P. 2018. Marine actinobacteria associated
with the invertebrate hosts: a rich source of bioactive compounds: A Review. (Invited
contribution) Journal of Cell &Tissue Research, 18 (01), 6361-6374.
79. 2018
Dangar, K. G., Kalasava, A. B., Dave, A. V. and Singh S.P. 2018. Molecular diversity of
Nocardiopsis alba sp. isolated from the coastal region of Gujarat, India. Journal of Cell
&Tissue Research, 18(3) 6559-6570
Vaidya A., Nair, V. S., Georrge, J. and Singh S.P. 2018. Comparative analysis of
thermophilic proteases, Research Journal of Life Sciences, Bioinformatics, Pharaceutical
and Chemical Sciences (RJLBPCS) 4(6), P. 66. DOI: 10.26479/2018.0406.05
Pandey, S. Sharma, A.K., Solanki, Kiran P. and Singh S.P. January 2018. Catalysis and
stability of an extracellular α- amylase from a haloalkaliphilic bacterium as a function of the
organic solvents at different pH, salt concentrations and temperatures. Indian Journal of
Geo-Marine Sciences (CSIR-NISCARE), 47 (01), 240-248 (IF 0.4).
80. 2018
Dangar, K. G., Kalasava, A. B., Dave, A. V. and Singh S.P. 2018. Molecular diversity of
Nocardiopsis alba sp. isolated from the coastal region of Gujarat, India. Journal of Cell
&Tissue Research, 18(3) 6559-6570
Vaidya A., Nair, V. S., Georrge, J. and Singh S.P. 2018. Comparative analysis of
thermophilic proteases, Research Journal of Life Sciences, Bioinformatics, Pharaceutical
and Chemical Sciences (RJLBPCS) 4(6), P. 66. DOI: 10.26479/2018.0406.05
Pandey, S. Sharma, A.K., Solanki, Kiran P. and Singh S.P. January 2018. Catalysis and
stability of an extracellular α- amylase from a haloalkaliphilic bacterium as a function of the
organic solvents at different pH, salt concentrations and temperatures. Indian Journal of
Geo-Marine Sciences (CSIR-NISCARE), 47 (01), 240-248 (IF 0.4).
81. 2017
Bhatt, H.B., Gohel, S.D. and Singh, S.P. 2017. Phylogeny, Novel bacterial lineage and
enzymatic potential of haloalkaliphilic bacteria from the saline coastal desert of Little Rann of
Kutch, Gujarat, India. 3 Biotech, 8,53, https://doi.org/10.1007/s13205-017-1075-0 (IF 1.36)
Bhatt, H.B., Begum, M.A., Chintalapati, S., Chintalapati, V.R. and Singh, S.P.
2017. Desertibacillus haloalkaliphilus gen. nov.sp. nov., isolated from a salt desert.
International Journal of Systematic & Evolutionary Microbiology (IJSEM), 67(11):4435-
4442 (IF 2.1)
Kikani, B.A., Sharma, A.K. & Singh, S.P. 2017. Metagenomic and Culture-Dependent
Analysis of the Bacterial Diversity of a Hot Spring Reservoir as a Function of the Seasonal
Variation. International Journal of Environmental Research, 11: 25-38.
DOI:10.1007/s41742-017-0003-9 (IF 1.0).
Datta, A., Sharma, A., Kundu, R.S. and Singh S.P. 2017. Diversity and enzymatic profile of
bacterial flora in the gut of an estuarine fish, Mugil jerdoni. Indian Journal of Geo-Marine
Sciences (CSIR-NISCARE), 46(06): 1116-1127 (IF 0.4)
83. Assignment
Question -1: What are different reasons for the variability in publications
among the scientists/students. (One para or 5-7 Points)
Question-2: In the light of the historical background of the citations, discus its
implications (One para or 5-7 Points)
Question-3 Discuss the Impact factors of the journals in the context of the
assessment of the credentials of the scientists. (One-two para)
Question-4 Highlight the merits of H-Index? (up to 5 Points)
Question-5 List 10 Journals with Impact factors and publishers of your
research areas