PLEASE SUBSCRIBE OUR YOUTUBE CHANNEL OPENKNOWLEDGE or see URL https://youtu.be/nPLnJqLEknY
Research Indices are the indicators of the credibility and recognition of a researcher, a journal, an article and/or and institute. These include Impact Factor, immediacy Index, h-index etc. Researchers and students must know about these indices for better recognition in the academia and research. In the first part of the series we are discussing Impact Factor as a vital research Index. Impact factor (IF) is the most Important basis of selection of journal by the researchers and readers. Its a a measure of the reputation of a journal. IF is a measure of the frequency with which the "average article" in a journal has been cited in a particular year. The OER shall cover how (IF is calculated), Who (provides the IF), on which factors IF depends upon, The importance of IF in academic recognition and knowing the IF of journal. Also SUBSCRIBE OUR YOUTUBE CHANNEL OPENKNOWLEDGE or see https://youtu.be/nPLnJqLEknY
Journal impact measures: the Impact FactorTorres Salinas
The seminar on impact measures will first shed light on the best known and most controversial indicator, namely Garfield’s Journal Impact Factor. Its strengths and weaknesses as well as its correct use will be discussed thoroughly. Moreover the corresponding analytical tool, Clarivate Analytics’s Journal Citation Reports will be demonstrated.
Presented at the european summer school for scientometrics ESSS - July 16th, 2019 - Louvain
Through the course of your research, right until you get your your paper published, there will be several individuals who have contributed to your research project in different ways. However, not all of these individuals can be considered as authors of your paper. So who qualifies as an author on your manuscript?
This slide deck will clarify who is an author, who does not qualify as an author of your paper and also three unethical authorship-related practices that you must avoid.
All researchers have heard about the impact factor. Read to learn what you may not know about the impact factor. Other measures of journal quality are now available as well.
Journal impact measures: the Impact FactorTorres Salinas
The seminar on impact measures will first shed light on the best known and most controversial indicator, namely Garfield’s Journal Impact Factor. Its strengths and weaknesses as well as its correct use will be discussed thoroughly. Moreover the corresponding analytical tool, Clarivate Analytics’s Journal Citation Reports will be demonstrated.
Presented at the european summer school for scientometrics ESSS - July 16th, 2019 - Louvain
Through the course of your research, right until you get your your paper published, there will be several individuals who have contributed to your research project in different ways. However, not all of these individuals can be considered as authors of your paper. So who qualifies as an author on your manuscript?
This slide deck will clarify who is an author, who does not qualify as an author of your paper and also three unethical authorship-related practices that you must avoid.
All researchers have heard about the impact factor. Read to learn what you may not know about the impact factor. Other measures of journal quality are now available as well.
The presentation discusses about a Thesis, Research paper, Review Article & Technical Reports: Organization of thesis and reports, formatting issues, citation methods, references, effective oral presentation of research. Quality indices of research publication: impact factor, immediacy factor, H- index and other citation indices. A verbal consent of Prof. Dr. C. B. Bhatt was obtained (at 4.15pm on Dt. 26-11-2016 at Hall A-2, GTU, Chandkheda) to float the presentation online in benefits of the research scholar society.
This presentation is about shortlisting and choosing journals for publishing. It also discusses quality issues, including predatory and hijacked journals. Most appropriate for Social Science students.
RESEARCH METRICS
It is the quantitative analysis of scientific and scholarly outputs and their impacts. Research Metrics measure impact and provide insight into the influence of specific journal publications, individual articles, and authors.
Using Reference Management Tools: EndNote and ZoteroUCD Library
Presentation by Diarmuid Stokes, College Liaison Librarian, University College Dublin Library, to the Health Sciences Libraries Group (HSLG) 2014 Annual Conference on May 23, 2014 in Dublin, Ireland.
Peer review is the most widely accepted model for setting a threshold of published scholarly material. With the move to digital publishing, it has come under attack with suggestions that it is 'broken', overloading reviewers and possibly no longer fit for purpose. This presentation discusses the challenges for peer review and some emerging new models. Ultimately, we may need to take a step back to ask what peer review is for and how these aims can best be achieved. Video available at https://www.youtube.com/watch?v=7YMla0Uc5ZE&x-yt-ts=1422327029&x-yt-cl=84838260
Introduction to Citations and ReferencingKee-Man Chuah
This is the introductory part of the unit on citations and referencing, which are important for academic writing. The style used is APA.
Note: Reference list for the materials used in the slights is provided upon request.
This presentation is useful for all who are preparing their projects in colleges. This presentation helps you in giving proper reference of data source.
The presentation discusses about a Thesis, Research paper, Review Article & Technical Reports: Organization of thesis and reports, formatting issues, citation methods, references, effective oral presentation of research. Quality indices of research publication: impact factor, immediacy factor, H- index and other citation indices. A verbal consent of Prof. Dr. C. B. Bhatt was obtained (at 4.15pm on Dt. 26-11-2016 at Hall A-2, GTU, Chandkheda) to float the presentation online in benefits of the research scholar society.
This presentation is about shortlisting and choosing journals for publishing. It also discusses quality issues, including predatory and hijacked journals. Most appropriate for Social Science students.
RESEARCH METRICS
It is the quantitative analysis of scientific and scholarly outputs and their impacts. Research Metrics measure impact and provide insight into the influence of specific journal publications, individual articles, and authors.
Using Reference Management Tools: EndNote and ZoteroUCD Library
Presentation by Diarmuid Stokes, College Liaison Librarian, University College Dublin Library, to the Health Sciences Libraries Group (HSLG) 2014 Annual Conference on May 23, 2014 in Dublin, Ireland.
Peer review is the most widely accepted model for setting a threshold of published scholarly material. With the move to digital publishing, it has come under attack with suggestions that it is 'broken', overloading reviewers and possibly no longer fit for purpose. This presentation discusses the challenges for peer review and some emerging new models. Ultimately, we may need to take a step back to ask what peer review is for and how these aims can best be achieved. Video available at https://www.youtube.com/watch?v=7YMla0Uc5ZE&x-yt-ts=1422327029&x-yt-cl=84838260
Introduction to Citations and ReferencingKee-Man Chuah
This is the introductory part of the unit on citations and referencing, which are important for academic writing. The style used is APA.
Note: Reference list for the materials used in the slights is provided upon request.
This presentation is useful for all who are preparing their projects in colleges. This presentation helps you in giving proper reference of data source.
2012.06.07 Maximising the Impact of Social Sciences ResearchNUI Galway
Jane Tinkler, Public Policy Group Manager, Impact of Social Science Project at London School of Economics presented this seminar "Maximising the Impact of Social Sciences Research" as part of the Whitaker Institute Seminar Series at the Whitaker Institute on 7th June 2012.
Relationship of Google Scholar Versions and Paper CitationsNader Ale Ebrahim
The number of citations that a paper has received is the most commonly used indicator to measure the quality of research. Researchers, journals, and universities want to receive more citations for their scholarly publications to increase their h-index, impact factor, and ranking respectively. In this paper, we tried to analyses the effect of the number of available Google Scholar versions of a paper on citations count. We analyzed 10,162 papers which are published in Scopus database in year 2010 by Malaysian top five universities. Then we developed a software to collect the number of citations and versions of each paper from Google Scholar automatically. The result of spearman correlation coefficient revealed that there is positive significant association between the number of Google Scholar versions of a paper and the number of times a paper has been cited.
Updated 30/01/2015
This session included discussions around the value of bibliometrics for individual performance management/promotion and the REF.
What are bibliometrics?
Journal metrics
Personal metrics
Article level metrics and altmetrics
Quality Assurance for Journal GuidanceSmriti Arora
Definitions
What is the need for quality assurance in journals ?
Type of journals
Bibliometric indicators
How to identify credible journals ?
Predatory/cloned journals
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
3. How ?: IF
• In any given year, the impact factor of a journal is the
number of citations, received in that year, of articles
published in that journal during the two preceding years,
divided by the total number of articles published in that
journal during the two preceding years.
(https://en.wikipedia.org/wiki/Impact_factor) Creative Commons Attribution-ShareAlike License
• For example a journal’s 2017 impact factor calculation will
be:
• IF(2017)= (Citations 2016 + Citations 2015)/ Published
papers 2016 + Published papers 2015
• IF(2017)=(1450 + 1550) / (150 + 260)= 4.878
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License 3
4. WHO? : IF
• Thomson Reuters
• The Institute for Scientific Information ISI
• Journal Citation Reports® (JCR®)
• Scopus-SJR
• Science Citation Index® (SCI®) and ESCI
• Social Sciences Citation Index® (SSCI®).
• Note: self declaration of IF by journals is not valid. These agencies
are globally recognized for analyzing and releasing the IF.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License 4
5. IF depends on
• No. of papers published and citations
• Presence in various Indexing services
• Frequency of publication of journal
• Online nature and wide dissemination (OA)
• Publisher’s policies of self citation
• Nature of journals (Review only/ Interdisciplinary)
• Miscellaneous factors:
Manuscript/presentation/editorial quality
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License 5
6. Impact Factor in Academic Recognition
The Academic Performance Indicators (API) as prescribed by University Grants Commission of India for
Career Advancement Scheme and for assessing bio data of an academician for University Teaching jobs.
It allows 25 points for each research paper of a Refereed Journals as notified by the UGC (for single
author)
• This score for paper in the journal is augmented on the basis of impact factor:
• (i) paper with impact factor less than 1 - by 5 points;
• (ii) papers with impact factor between 1 and 2 by 10 points;
• (iii) papers with impact factor between 2 and 5 by 15 points;
• (iv) papers with impact factor between 5 and 10 by 20 points;
• (v) papers with impact factor above 10 by 25 points.
Therefore, higher the impact factor of the journal in which you have
• published higher will be your API score.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License 6
7. So….
• Please be careful and not fall in the trap of predatory
journals who wrongly claim the high impact factor.
• If you want to verify the journal's IF, either you should have
the list of IF issued by the agencies or simply type the name
of journal in google search bar, if it would have the actual IF
the google would show in the box otherwise not….
(However it may not show you the current year IF)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
7
8. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
8
9. Other approaches
This work is licensed under a Creative
Commons Attribution-ShareAlike 4.0
International License.
9
http://www.citefactor.org/journal-impact-factor-list-2014_I.html
http://lms.uop.edu.jo/lms/mod/data/view.php?d=29&advanced=0&paging&pag
e=1 (ISI Thomson Reuters Impact Factor List 2017)
Or search individual publisher’s website like Bentham, Elsevier, Springer, chose
the journal from their list and then open the Main page-- IF will be shown if
exists with year and name of agency
But for other journals Don’t rely upon the IF shown in Main page; first check
whether the journal is indexed in SCI or ESCI by checking the website of SCI.
10. Concluding Remark
• You can publish your work in good journals
with impact factor even without paying even a
single penny.
• Just search and target a good journal and give
the justice to your hard work….
• Best of Luck friends……..
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License 10
11. Acknowledgment
• Faculty Development Centre, HNB Garhwal University (A Central University) Srinagar Garhwal, India
for providing the opportunity to participate in Short term course (STC-3) on Open Education
Resources (OER) in higher education.
• All the participants of STC-3 on OER in Higher Education (04-09 Sept. 2017).
• All the resource persons of STC Dr Inderdeep Sing (IIT Roorkee), Dr Reetesh Sah (HRDC, Kumaun
University), Dr Jagdamba Prasad (IGNOU, Dehradun), Dr Manas Ranjan Panigrahi (CEMCA), Prof S
Pani (Utakal University) Dr Divyakant Vaghelaa (INFLIB Gandhinagar), Dr Hitesh Solanki (INFLIB
Gandhinagar) Dr Manoj Diwakar (Jamia Milia Islamia, New Delhi), Dr Kiran Lata Dangwal (Lucknow
University) Prof Rajat Agrawal inspiring the OER development.
• Mr Lokesh Adhikari, Project Fellow, UGC-DAE CSR project in collaboration with BARC, Mumbai for
logistic and technical support.
• Dr Mona Semalty, Assistant Professor, Department of Pharm. Sciences, HNB garhwal University
Srinagar Garhwal for content writing and development.
• Department of Pharmaceutical Sciences, HNB Garhwal University Srinagar Garhwal, India.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 11
12. Bibliography/Further readings
• Impact factor, https://en.wikipedia.org/wiki/Impact_factor
• Cross JO, Impact factors – The Basics, the e resource management Handbook,
https://www.uksg.org/sites/uksg.org/files/19-Cross-H76M463XL884HK78.pdf
• The Impact of Impact Factors, http://www.springer.com/gp/partners/society-zone-issues/the-
impact-of-impact-factors/4592
• Semalty M, Semalty A, Essentials of Research: A Mini Guide, 2012, ISBN 978-3-659-30545-0, LAP
Lambert Academic Publishing, Saarbrucken, Deutschland, Germany.
• Semalty et al. Art of Writing and Publishing in Pharmaceutical Journals, 2007, ISBN 81-88449-21-
0, Pharma Book Syndicate, Hyderabad, India.
• Bergstrom CT and West J, Comparing Impact Factor and Scopus CiteScore,
http://eigenfactor.org/projects/posts/citescore.php
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 12
13. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 13
We will be back with other research indices soon….
Stay tuned for more educational videos……
Thank you for viewing……
Please do share the video and subscribe our channel
OK (Open Knowledge) for forthcoming videos…….
14. This work is licensed under a Creative
Commons Attribution-ShareAlike 4.0
International License.
14
The OK Team
Dr. Ajay Semalty[M Pharm, PGDOM, MBA (OM), Ph D]
Assistant Professor
Department of Pharmaceutical Sciences
H.N.B. Garhwal University
Srinagar Garhwal-246174
INDIA
Visiting Scientist: Meijo University , Nagoya, Japan
semaltyajay@gmail.com
Dr. Mona Semalty [M Pharm, PGDOM, MBA (OM), Ph D]
Assistant Professor
Department of Pharmaceutical Sciences
H.N.B. Garhwal University
Srinagar Garhwal-246174
INDIA
monasemalty@gmail.com
Mr Lokesh Adhikari (M. Pharm (Pharmaceutics), Ph D (pursuing)
Department of Pharmaceutical Sciences
H.N.B. Garhwal University
Srinagar Garhwal-246174
INDIA
research.lokesh@gmail.com