Responsible use of university rankingsLudo Waltman
1) The CWTS Leiden Ranking focuses solely on research performance and is based purely on bibliometric indicators derived from the Web of Science database, without composite scores or input from universities.
2) The 2018 edition ranked 938 universities from 55 countries that published at least 1,000 documents between 2013-2016.
3) When designing rankings, indicators should distinguish between size-dependent and size-independent metrics, universities should be consistently defined, and rankings should be transparent. Comparisons between universities require acknowledging differences between them and the uncertainty in rankings.
Presentation on the occasion of the 60th anniversary of the Econometric Institute at Erasmus University Rotterdam. Rotterdam, The Netherlands, May 27, 2016.
A scientometric perspective on university rankingLudo Waltman
This document discusses responsible use of university rankings, using the CWTS Leiden Ranking as an example. It outlines principles for ranking design, interpretation, and use. Key points include distinguishing size-dependent and size-independent indicators, acknowledging uncertainty, and considering values beyond ranks. Rankings provide valuable but limited information and should not be used simplistically or as a sole performance measure. Multiple dimensions of university work are not represented in rankings.
New developments in the CWTS Leiden RankingLudo Waltman
This document discusses new developments in the CWTS Leiden Ranking. It introduces indicators of gender balance and open access publishing that have been added to the ranking. The gender indicators measure the proportion of male and female authors and authorships. The open access indicators measure the proportion of a university's publications that are openly accessible via various open access routes like gold, hybrid, green or bronze open access. The document provides examples of these new indicators for different universities and regions to demonstrate how they can provide insights into gender balance and open access practices over time.
- The document discusses the CWTS Leiden Ranking, which ranks universities based on bibliometric indicators derived from publication and citation data.
- It describes the methodology used, including the use of fractional counting of co-authored publications and counting highly cited publications rather than total citations.
- New in 2019 are indicators on open access publishing rates and gender balance among authors.
- The ranking includes 963 universities from 56 countries that meet selection criteria around publication volume and type.
- It emphasizes the need for transparency in rankings and acknowledging their limitations, as different rankings may produce different results depending on methodology.
Comparing scientific performance across disciplines: Methodological and conce...Ludo Waltman
Presentation at the 7th International Conference on Information Technologies and Information Society (ITIS2015) in Novo Mestro, Slovenia on November 5, 2015.
An in-depth bibliometric perspective on China’s scientific performanceLudo Waltman
This document discusses China's scientific performance based on bibliometric analysis. It finds:
- China's scientific output and impact has grown tremendously, with its share of world publications rising from 3% in 2000 to 17% in 2015.
- Chinese research is particularly strong in physical sciences, engineering, mathematics and computer science.
- Analysis of individual institutions like Zhejiang University and Fudan University reveals their research strengths in specific micro-level research areas.
- The document advocates for responsible use of bibliometrics and more detailed analyses to provide context beyond high-level statistics.
Responsible use of university rankingsLudo Waltman
1) The CWTS Leiden Ranking focuses solely on research performance and is based purely on bibliometric indicators derived from the Web of Science database, without composite scores or input from universities.
2) The 2018 edition ranked 938 universities from 55 countries that published at least 1,000 documents between 2013-2016.
3) When designing rankings, indicators should distinguish between size-dependent and size-independent metrics, universities should be consistently defined, and rankings should be transparent. Comparisons between universities require acknowledging differences between them and the uncertainty in rankings.
Presentation on the occasion of the 60th anniversary of the Econometric Institute at Erasmus University Rotterdam. Rotterdam, The Netherlands, May 27, 2016.
A scientometric perspective on university rankingLudo Waltman
This document discusses responsible use of university rankings, using the CWTS Leiden Ranking as an example. It outlines principles for ranking design, interpretation, and use. Key points include distinguishing size-dependent and size-independent indicators, acknowledging uncertainty, and considering values beyond ranks. Rankings provide valuable but limited information and should not be used simplistically or as a sole performance measure. Multiple dimensions of university work are not represented in rankings.
New developments in the CWTS Leiden RankingLudo Waltman
This document discusses new developments in the CWTS Leiden Ranking. It introduces indicators of gender balance and open access publishing that have been added to the ranking. The gender indicators measure the proportion of male and female authors and authorships. The open access indicators measure the proportion of a university's publications that are openly accessible via various open access routes like gold, hybrid, green or bronze open access. The document provides examples of these new indicators for different universities and regions to demonstrate how they can provide insights into gender balance and open access practices over time.
- The document discusses the CWTS Leiden Ranking, which ranks universities based on bibliometric indicators derived from publication and citation data.
- It describes the methodology used, including the use of fractional counting of co-authored publications and counting highly cited publications rather than total citations.
- New in 2019 are indicators on open access publishing rates and gender balance among authors.
- The ranking includes 963 universities from 56 countries that meet selection criteria around publication volume and type.
- It emphasizes the need for transparency in rankings and acknowledging their limitations, as different rankings may produce different results depending on methodology.
Comparing scientific performance across disciplines: Methodological and conce...Ludo Waltman
Presentation at the 7th International Conference on Information Technologies and Information Society (ITIS2015) in Novo Mestro, Slovenia on November 5, 2015.
An in-depth bibliometric perspective on China’s scientific performanceLudo Waltman
This document discusses China's scientific performance based on bibliometric analysis. It finds:
- China's scientific output and impact has grown tremendously, with its share of world publications rising from 3% in 2000 to 17% in 2015.
- Chinese research is particularly strong in physical sciences, engineering, mathematics and computer science.
- Analysis of individual institutions like Zhejiang University and Fudan University reveals their research strengths in specific micro-level research areas.
- The document advocates for responsible use of bibliometrics and more detailed analyses to provide context beyond high-level statistics.
The document summarizes Ludo Waltman's presentation on responsible university ranking at the 1st Moscow International Symposium in Scientometrics, Higher Education and Law Research. It discusses CWTS, Leiden University's work in developing quantitative analyses of science, including the Leiden Ranking of universities and the Leiden Manifesto providing principles for responsible use of metrics. The presentation emphasizes the need for transparent, multi-dimensional rankings that consider different university missions and account for uncertainty. It also introduces the new Quantitative Science Studies journal.
A scientometric perspective on university rankingNees Jan van Eck
This document discusses responsible use of university rankings. It summarizes a presentation given by Nees Jan van Eck of CWTS about their Leiden university ranking methodology. The presentation outlines principles for responsible ranking design, interpretation, and use. It emphasizes using transparent, field-normalized bibliometric indicators to measure research impact rather than composite scores. Comparisons should consider size and subject differences between universities. Ranks are less important than underlying indicator values. Non-research metrics are also important to consider.
Ludo Waltman presents principles for responsible university ranking. He discusses 10 rules for ranking universities, including that one size does not fit all universities, rankings should be transparent about their methodology and data, and they should acknowledge uncertainty. He then highlights the 2019 edition of the CWTS Leiden Ranking, which newly includes indicators of open access publications and gender diversity among authors. Waltman concludes by emphasizing the social responsibility of both rankings and universities to encourage responsible behavior from rankers.
Contextualized scientometrics: What's behind the numbers?Ludo Waltman
This document discusses contextualized scientometrics and outlines an agenda for the scientometric community. It begins by showing bibliometric indicators for top Chinese universities and explores what factors influence these numbers through techniques like identifying research areas and topics in citation networks. It argues that scientometrics should focus on contextualization over representation by making diverse statistics and information available rather than basing decisions solely on indicators. Open data sources like the Initiative for Open Citations and Dimensions platform can help accomplish this by providing open metadata. The agenda calls on scientometricians to promote responsible use of indicators, support open data initiatives, use open sources in research, and support open metadata as authors and reviewers.
CWTS Leiden Ranking: An advanced bibliometric approach to university rankingNees Jan van Eck
This document summarizes a presentation about the CWTS Leiden Ranking, a university ranking produced by the Centre for Science and Technology Studies (CWTS) at Leiden University. It provides details about CWTS, the Leiden Ranking methodology, indicators, selection of universities, and differences from other rankings. The presentation emphasizes the importance of using bibliometric indicators, fractional counting of publications, and focusing on highly cited publications. It concludes with principles for the responsible use and interpretation of rankings to avoid simplistic comparisons and ensure rankings are used appropriately.
This document compares several bibliographic data sources and finds substantial discrepancies between them. It analyzes the coverage of publications and citations in Web of Science, Scopus, Dimensions, and Crossref. Dimensions and Scopus have the most complete coverage of publications, while Crossref is incomplete due to closed or missing citations. Pairwise comparisons reveal millions of citations that are unique to each source. The causes of discrepancies include reference inaccuracies, versioning issues, and different matching algorithms. Examples demonstrate problems caused by group authors and supplements in Web of Science.
Toward open citations: Why, how, and when?Ludo Waltman
Ludo Waltman discusses open citations, including arguments for why they are important, how initiatives like Initiative for Open Citations (I4OC) are working to implement them, and how different stakeholders can support open citations. Key points include that open citations improve transparency and reproducibility in research evaluation and scientometrics. I4OC is working with Crossref to make citation metadata openly available, though large publishers like Elsevier still do not support open citations. Countries like Sweden and the Netherlands have taken a leading role in supporting open citations through signing an open letter in support of I4OC.
Web of Science, Scopus, Dimensions, and beyond: The evolving landscape of bib...Ludo Waltman
This document summarizes the evolving landscape of bibliometric data sources and opportunities for bibliometric visualization. It discusses how alternative data sources like Dimensions, Crossref, and OpenCitations Corpus provide more open citation data than traditional sources like Web of Science and Scopus. While coverage varies, Dimensions and Crossref provide reasonably complete publication and citation data. Discrepancies between sources are due to reference inaccuracies and inconsistencies in citation matching. VOSviewer software supports network analysis and visualization using multiple data sources. The document calls for expanding open citation indexing to further open science.
Responsible journals: Making reading, evaluation and publishing openLudo Waltman
This document outlines steps journals can take to become more open and responsible. It discusses:
1) Flipping journals to open access by adopting fair open access principles and transparent article processing charges.
2) Making peer review more open through pilots of open peer review at various journals.
3) Potential future directions including decoupling publishing services, increasing use of preprint repositories, and considering if journals themselves will continue to exist or publishing will be handled through separate services and platforms.
Large-scale visualization of science: Methods, tools, and applicationsLudo Waltman
Presentation at the International Workshop on Data-driven Science Mapping, organized on the occasion of the 60th anniversary of the Department of Library and Information Science at Yonsei University. Seoul, South Korea, June 3, 2017.
Bibliometrische visualisaties voor het bijhouden van wetenschappelijke litera...Nees Jan van Eck
This document provides an overview of bibliometric visualizations using VOSviewer software. It discusses the explosive growth of scientific literature and available bibliographic data sources. VOSviewer allows visualization of co-authorship, citation-based, and term co-occurrence networks. Hands-on demonstrations are provided for creating co-authorship maps, citation maps of publications and journals, and term maps. Bibliometric maps provide insights into the structure and relationships within a research field.
This document summarizes the research of Ludo Waltman on the field of research on research. It discusses algorithms and tools developed by Waltman's group like the Louvain and Leiden algorithms for community detection in networks. It also summarizes Waltman's work analyzing the landscape of science through Dimensions data and identifying the subset of publications focused on research on research. Finally, it shows term maps and analyses of research on research literature in areas like scientometrics, science and technology studies, and innovation studies.
Social sciences research addressing societal challengesLudo Waltman
Presentation at the Faculty of Social and Behavioural Sciences, Leiden University, together with André Brasil. Leiden, the Netherlands, November 5, 2019.
Implementing a Scholarly Impact Program for Faculty and Graduate StudentsBrenna Helmstutler
In academic institutions today, there are greater expectations of accountability requiring tenure-track faculty to substantively demonstrate scholarly impact for annual reporting, benchmarking, and promotion and tenure. Database vendors and other content providers are creating robust, yet user-friendly, scholarly impact tools within current products. In response, institutional libraries are offering workshops, individual assistance, research guides, and other activities to promote the value and usage of these tools. However, there is no dedicated scholarly impact outreach program yet documented in the library literature. This poster will discuss developing, implementing, and assessing an innovative scholarly impact outreach program based on the author's experience as a librarian at Georgia State University.
The document provides information about MM ACTIV Singapore Pte Ltd., including their contact details, address, and fax number. It encourages recipients to fax their credit details to MM ACTIV Singapore for an unspecified purpose. It also includes brief information about the company's telephone numbers and fax.
The document summarizes Ludo Waltman's presentation on responsible university ranking at the 1st Moscow International Symposium in Scientometrics, Higher Education and Law Research. It discusses CWTS, Leiden University's work in developing quantitative analyses of science, including the Leiden Ranking of universities and the Leiden Manifesto providing principles for responsible use of metrics. The presentation emphasizes the need for transparent, multi-dimensional rankings that consider different university missions and account for uncertainty. It also introduces the new Quantitative Science Studies journal.
A scientometric perspective on university rankingNees Jan van Eck
This document discusses responsible use of university rankings. It summarizes a presentation given by Nees Jan van Eck of CWTS about their Leiden university ranking methodology. The presentation outlines principles for responsible ranking design, interpretation, and use. It emphasizes using transparent, field-normalized bibliometric indicators to measure research impact rather than composite scores. Comparisons should consider size and subject differences between universities. Ranks are less important than underlying indicator values. Non-research metrics are also important to consider.
Ludo Waltman presents principles for responsible university ranking. He discusses 10 rules for ranking universities, including that one size does not fit all universities, rankings should be transparent about their methodology and data, and they should acknowledge uncertainty. He then highlights the 2019 edition of the CWTS Leiden Ranking, which newly includes indicators of open access publications and gender diversity among authors. Waltman concludes by emphasizing the social responsibility of both rankings and universities to encourage responsible behavior from rankers.
Contextualized scientometrics: What's behind the numbers?Ludo Waltman
This document discusses contextualized scientometrics and outlines an agenda for the scientometric community. It begins by showing bibliometric indicators for top Chinese universities and explores what factors influence these numbers through techniques like identifying research areas and topics in citation networks. It argues that scientometrics should focus on contextualization over representation by making diverse statistics and information available rather than basing decisions solely on indicators. Open data sources like the Initiative for Open Citations and Dimensions platform can help accomplish this by providing open metadata. The agenda calls on scientometricians to promote responsible use of indicators, support open data initiatives, use open sources in research, and support open metadata as authors and reviewers.
CWTS Leiden Ranking: An advanced bibliometric approach to university rankingNees Jan van Eck
This document summarizes a presentation about the CWTS Leiden Ranking, a university ranking produced by the Centre for Science and Technology Studies (CWTS) at Leiden University. It provides details about CWTS, the Leiden Ranking methodology, indicators, selection of universities, and differences from other rankings. The presentation emphasizes the importance of using bibliometric indicators, fractional counting of publications, and focusing on highly cited publications. It concludes with principles for the responsible use and interpretation of rankings to avoid simplistic comparisons and ensure rankings are used appropriately.
This document compares several bibliographic data sources and finds substantial discrepancies between them. It analyzes the coverage of publications and citations in Web of Science, Scopus, Dimensions, and Crossref. Dimensions and Scopus have the most complete coverage of publications, while Crossref is incomplete due to closed or missing citations. Pairwise comparisons reveal millions of citations that are unique to each source. The causes of discrepancies include reference inaccuracies, versioning issues, and different matching algorithms. Examples demonstrate problems caused by group authors and supplements in Web of Science.
Toward open citations: Why, how, and when?Ludo Waltman
Ludo Waltman discusses open citations, including arguments for why they are important, how initiatives like Initiative for Open Citations (I4OC) are working to implement them, and how different stakeholders can support open citations. Key points include that open citations improve transparency and reproducibility in research evaluation and scientometrics. I4OC is working with Crossref to make citation metadata openly available, though large publishers like Elsevier still do not support open citations. Countries like Sweden and the Netherlands have taken a leading role in supporting open citations through signing an open letter in support of I4OC.
Web of Science, Scopus, Dimensions, and beyond: The evolving landscape of bib...Ludo Waltman
This document summarizes the evolving landscape of bibliometric data sources and opportunities for bibliometric visualization. It discusses how alternative data sources like Dimensions, Crossref, and OpenCitations Corpus provide more open citation data than traditional sources like Web of Science and Scopus. While coverage varies, Dimensions and Crossref provide reasonably complete publication and citation data. Discrepancies between sources are due to reference inaccuracies and inconsistencies in citation matching. VOSviewer software supports network analysis and visualization using multiple data sources. The document calls for expanding open citation indexing to further open science.
Responsible journals: Making reading, evaluation and publishing openLudo Waltman
This document outlines steps journals can take to become more open and responsible. It discusses:
1) Flipping journals to open access by adopting fair open access principles and transparent article processing charges.
2) Making peer review more open through pilots of open peer review at various journals.
3) Potential future directions including decoupling publishing services, increasing use of preprint repositories, and considering if journals themselves will continue to exist or publishing will be handled through separate services and platforms.
Large-scale visualization of science: Methods, tools, and applicationsLudo Waltman
Presentation at the International Workshop on Data-driven Science Mapping, organized on the occasion of the 60th anniversary of the Department of Library and Information Science at Yonsei University. Seoul, South Korea, June 3, 2017.
Bibliometrische visualisaties voor het bijhouden van wetenschappelijke litera...Nees Jan van Eck
This document provides an overview of bibliometric visualizations using VOSviewer software. It discusses the explosive growth of scientific literature and available bibliographic data sources. VOSviewer allows visualization of co-authorship, citation-based, and term co-occurrence networks. Hands-on demonstrations are provided for creating co-authorship maps, citation maps of publications and journals, and term maps. Bibliometric maps provide insights into the structure and relationships within a research field.
This document summarizes the research of Ludo Waltman on the field of research on research. It discusses algorithms and tools developed by Waltman's group like the Louvain and Leiden algorithms for community detection in networks. It also summarizes Waltman's work analyzing the landscape of science through Dimensions data and identifying the subset of publications focused on research on research. Finally, it shows term maps and analyses of research on research literature in areas like scientometrics, science and technology studies, and innovation studies.
Social sciences research addressing societal challengesLudo Waltman
Presentation at the Faculty of Social and Behavioural Sciences, Leiden University, together with André Brasil. Leiden, the Netherlands, November 5, 2019.
Implementing a Scholarly Impact Program for Faculty and Graduate StudentsBrenna Helmstutler
In academic institutions today, there are greater expectations of accountability requiring tenure-track faculty to substantively demonstrate scholarly impact for annual reporting, benchmarking, and promotion and tenure. Database vendors and other content providers are creating robust, yet user-friendly, scholarly impact tools within current products. In response, institutional libraries are offering workshops, individual assistance, research guides, and other activities to promote the value and usage of these tools. However, there is no dedicated scholarly impact outreach program yet documented in the library literature. This poster will discuss developing, implementing, and assessing an innovative scholarly impact outreach program based on the author's experience as a librarian at Georgia State University.
The document provides information about MM ACTIV Singapore Pte Ltd., including their contact details, address, and fax number. It encourages recipients to fax their credit details to MM ACTIV Singapore for an unspecified purpose. It also includes brief information about the company's telephone numbers and fax.
Durham Leading Research Programme: Academic ImpactJamie Bisset
Aims of the Module
Researchers intending to publish are met with an increasingly complex world of options, influences and pressures. The digital landscape and developments in open access publishing provide additional dissemination channels beyond traditional print; bibliometric tools purport to measure journals’ academic impact ; funder mandates, institutional mandates and routine research assessment exercises place additional requirements on authors which may influence their choice of where and how to publish. The aim of this module is to help researchers navigate this territory and make well- informed decisions.
Content
• Background to the development and use of publication metrics as research indicators, and the issues surrounding this.
• Journal metrics: assess the academic impact of journals, including Journal Impact Factors, Journal Citation Reports and other measures.
• Citations and author metrics: tools available to assess an authors’ individual citation counts and impact, including the h-index.
Approach
The module will take the form of a workshop with on-screen demonstrations and hands-on opportunity, with some presentation and hand-out materials highlighting issues and discussions within the academic community.
Intended outcomes
By the end of the session participants will:
• Increased awareness of the various journal and author metrics available.
• Developed understanding of the key issues around the use of these metrics and what research behaviours might be incentivised.
• Awareness of the potential opportunities for exploring wider academic and non-academic impact of publications from altmetric tools available.
PR Measurement Summit 2016 Session 2: Jim Macnamara -Putting Theory Into Prac...CARMA
Jim Macnamara, Associate Dean & Professor of Public Communication at University of Technology in Sydney conducted a workshop on "Putting Theory Into Practice: Demonstrating Best Practice Evaluation In Three Case Studies" last October 12th as part of the 2-day PR Measurement Summit. The theme of the event was “Measurement in an Age of Integrated Communications”. This was held last October 12th-13th at the Address Dubai Marina, Dubai, UAE.
Este documento presenta una cronología de momentos clave en el desarrollo de la computadora en México desde 1958 hasta 1996, incluyendo la adquisición de los primeros modelos de computadora como el IBM-6501 y el Bendix G-15, reuniones sobre aplicaciones de computadoras, y el establecimiento de los primeros programas de licenciatura en computación.
Bibliometric portrait of srels journal of information management for the peri...Ghouse Modin Mamdapur
Analyse articles in SRELS journal of information management published during the years 2004-2013 and to study the key dimensions of its publication trends. For this study 10 volumes containing 48 issues have been taken up for evaluation. Necessary bibliometric measures are applied to analyse different publication parameters. In all 499 articles are published with an average 49 articles each year. The collaborative measures are calculated as per Ajiferuke et al (0.35), Lawani (2.28) and Subramanyam (0.65). The average author per article is 1.83 for 499 articles. Lotka’s law is tested and conforms to a value of n=2.27. There are 6224 citations found appended to 499 articles during the period 2004-2013. Journals (44.49%) are the top form of source used by authors followed by books (22.51%) and web pages (15.60%). Ranked list of prolific authors and ranked list of journals is prepared and presented in respective tables. Khaiser Nikam and MP Satija have topped the ranked list of prolific authors with 11 articles each. SRELS Journal of Information Management topped the ranked list of journals with 197 (7.11%) citations. Among different countries contributing to this journal, authors from India (94.75%) have made maximum contributions. Authors from Karnataka (43.59%) have contributed majority of articles among Indian States. Bradford’s Law of Scattering is verified through Leimkuhler model and found fitting the data.
El documento habla sobre los diferentes tipos de web. Explica que la Web 1.0 era la forma más básica con solo texto y sin interacción del usuario. La Web 2.0 permite a los usuarios interactuar y cambiar contenido. La Web 3.0 aún no tiene una definición concreta y es motivo de debate. Finalmente, la Web 4.0 busca resolver las limitaciones actuales a través de un sistema operativo tan rápido como el cerebro humano.
O texto descreve a espera de três horas no aeroporto com o amigo Pedro antes de embarcar em seu voo. O autor destaca a capacidade de Pedro se comunicar através de gestos e expressões, apesar de ser pouco falante. Quando Pedro parte, o autor sente sua falta.
Dokumen tersebut memberikan instruksi tentang cara menambahkan animasi dan efek suara pada presentasi PowerPoint, termasuk cara mengatur animasi secara otomatis, menambahkan transisi slide, dan mengatur kecepatan transisi. Diberikan juga contoh soal untuk latihan.
Rodrigo Costas & Stefanie Haustein: Citation theories and their application t...Stefanie Haustein
Presentation at #2AMconf
Rodrigo Costas, (CWTS-Leiden University, the Netherlands) & Stefanie Haustein (Université de Montréal, Canada)
Related paper: http://arxiv.org/abs/1502.05701
What is your h-index and other measures of impactBerenika Webster
This document discusses various metrics for measuring the impact and productivity of individual researchers and publications. It begins by explaining that metrics are widely used to assess the impact of science systems, institutions, research groups, and individuals for purposes like funding, employment, and identifying experts. The document then outlines learning objectives around identifying paper-level and author-level indicators of impact from databases like Scopus, Web of Science, and SciVal. It discusses various common metrics and their limitations, like the h-index, and emphasizes the importance of using size-dependent variables and disciplinary context. It provides examples of constructing "stories" about individual publications and researchers using a range of bibliometric data and indicators.
Joget Workflow v5 Training Slides - Module 10 - Participant Mapping and Permi...Joget Workflow
This document discusses participant mapping and permission control in Joget Workflow. It covers mapping participants to users, groups, org charts, and variables. The five permission layers of process, form, form section, userview, and userview category are described. The document provides examples of mapping for a leave application and setting permissions to restrict access for anonymous users. It emphasizes that all participants must be mapped and permissions can control access to processes, forms, and userviews.
SSH & the City. A network approach for tracing the societal contribution of t...Nicolas Robinson-Garcia
This document discusses developing a network approach for evaluating the societal impact of social sciences and humanities research. It proposes mapping researchers' social media interactions to identify productive relationships between academics and non-academics. The document presents analysis of two researchers' Twitter networks, finding connections to both local and global contacts. It argues that mapping social engagement is a first step toward understanding societal impact, which is difficult to directly measure. Further analysis of additional data sources could help cross-validate these networks and characterize different levels of interaction.
Citation analysis: State of the art, good practices, and future developmentsLudo Waltman
This document summarizes the state of the art in citation analysis and bibliometrics. It discusses common bibliometric indicators like impact factor and h-index, limitations of these indicators, and approaches to field normalization. It also covers future developments, emphasizing the need for transparent and contextualized analysis. Indicators should complement expert judgment rather than replace it. New data sources like altmetrics and full text could provide additional context behind bibliometric numbers.
The document discusses bibliographic coupling, co-citation coupling, and obsolescence. It defines bibliographic coupling as the relationship between two works that cite a common work, and co-citation coupling as the relationship between two works that are both cited by a third work. It outlines criticisms of bibliographic coupling and describes how co-citation coupling and author co-citation analysis evolved as alternative methods. Uses of bibliographic coupling include finding related research and understanding the development of new subjects. The document also defines obsolescence as the reduced use of information over time, and lists reasons for and criteria to measure the declination in usage of information.
The questionnaire results showed that most respondents expect to pay £3-4 for a music magazine, read magazines monthly, and want to see a popular artist/band on the cover. This informs that the magazine should be priced at £3-4, released monthly, and feature a popular artist on the cover. Respondents also said the main image and cover lines attract them most. Therefore, the magazine needs an eye-catching cover image and interesting cover lines. Most preferred genres were eclectic and pop, so the magazine should cover a wide range of popular music. Since Q was the favorite magazine, modeling the new magazine after Q will appeal to readers.
To ensure that publications are assigned to clusters in a meaningful way, we introduce the notion of stable clusters. Essentially, a cluster is stable if it is insensitive to small changes in the underlying data. Bootstrapping is used to make small changes in the data. It is shown that if we want to have an accurate and detailed clustering, we need to be satisfied with a clustering that doesn’t comprehensively cover all publications. Publications that do not clearly belong to one of the main topics in a field cannot be assigned to a cluster.
This document summarizes key points from a presentation on ranking universities and evaluating research performance. It discusses the challenges of different ranking and evaluation methods, including peer review, bibliometric analysis, and limitations of each. It also presents several findings from benchmarking and analysis, including that larger, top-performing universities can maintain high research performance across a broad range of activities, and that lower-performing universities receive a cumulative advantage in citations from increasing size.
CWTS Leiden Ranking: An advanced bibliometric approach to university rankingNees Jan van Eck
The document summarizes the CWTS Leiden Ranking, which provides bibliometric indicators to rank the scientific performance of universities based on Web of Science data. It uses an advanced methodology including: (1) percentile-based indicators to account for skewed citation distributions, (2) exclusion of non-core publications, and (3) field normalization through a publication-level classification system and fractional counting of co-authored publications. This methodology differs from other rankings by solely focusing on scientific performance without aggregating other dimensions and not relying on survey or self-reported data.
Presentation on the usefulness of benchmarking for Research Deans - part of a course on Research Leadership by the European Foundation for Management Development
This document discusses the role of libraries in research evaluation. It provides an overview of research evaluation in the UK context and how bibliometric measures like the number of publications, citations, h-index, and journal impact factors are used. It explains data sources like Web of Science, Scopus and Google Scholar and how to interpret citation data. The document also discusses how libraries can advise researchers on using bibliometric data to tell the story of their research impact and provides examples of high cited articles and institutional rankings. It proposes topics for librarians to discuss with researchers to help them understand research evaluation and metrics.
This document provides an overview of Elsevier's support for university rankings agencies QS and THE. It discusses how Elsevier contributes Scopus bibliometric data and conducts reputation surveys to support the rankings. It also summarizes some of the methodology changes THE and QS have made to their rankings between 2015-2018, such as adjusting citation calculation periods, thresholds for number of papers included, and subject categories considered. The goal is to inform stakeholders about Elsevier's role while maintaining objectivity regarding the rankings.
Publishing and impact Wageningen University IL for PhD 20141202Hugo Besemer
This document provides information on publishing and metrics for impact. It discusses publishing articles and choosing journals, as well as different metrics for measuring impact at the article, author, journal, and research group levels. These include metrics like the h-index for authors and journal impact factors. It also provides information on bibliometric databases and analyzing citation data to calculate relative impact compared to baselines in different subject areas. Exercises are included to help readers practice applying these bibliometric concepts.
This document discusses research performance metrics for European universities compared to North American and Asian universities. It finds that while Europe has some universities that excel in certain fields, overall North America and Asia surpass Europe in terms of numbers of universities in the top 10% of research performance across fields. The US has many globally competitive universities that dominate scores of fields, far more than all European universities combined. Several Asian universities also demonstrate broad excellence, challenging the notion that competition was only a future threat.
Leveraging a Library CMS and Social Media to promote #openaccess (OA) to inst...Nick Sheppard
The confluence of various technologies and Open Access (OA) initiatives make it easy to share research outputs via social media and assess the reach and impact of dissemination. The Library at Leeds Beckett utilises LibGuides as our CMS and supports the institutional research management infrastructure comprising Symplectic Elements and EPrints, and we have developed a dedicated series of LibGuides around selected themes comprising a range of relevant information and including institutional research outputs. For World Diabetes Day, for example, we curated a collection of research outputs and utilised the Elements API to display a date ordered list of citations including, where available, links to author versions, self-archived and openly accessible in EPrints alongside an embedded Twitter feed from @WDD, the Official Twitter account of the campaign from the International Diabetes Federation. The page was disseminated via Twitter from accounts operated by the Library, @BeckettLibrary and @BeckettResearch, including targeted tweets to @WDD and individual academics. With over 4,500 and 1,500 followers respectively these accounts are well subscribed and received several "retweets". The guide, whilst highlighting and strengthening the role of the library as a tool for researchers, was also an advocacy tool to engage academics in OA. This paper will explore the context and technology of this initiative and present data from Twitter analytics and so called "altmetrics" as a means of visualising how research is shared and disseminated online and which are potential indicators of impact beyond the traditional readership of scholarly material, especially in conjunction with OA.
This document discusses the methodology and results of the Academic Ranking of World Universities (ARWU) conducted by Shanghai Jiao Tong University. It outlines the purposes of developing the ARWU, which were to evaluate Chinese universities' positions globally and measure the gap to becoming world-class. The methodology uses 6 objective indicators and internationally comparable data to rank over 1000 universities. It acknowledges issues with the methodology and ways to improve the rankings, such as addressing biases against certain fields and languages.
University Rankings,the Triple Helix Modeland Webometrics:Opening Pandora’...Han Woo PARK
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Do you know “Over 43% of ISI papers has never received any citations?” (nature.com/top100, 2014). Publishing a high quality paper in scientific journals is only halfway towards receiving citation in the future. The rest of the journey is dependent on disseminating the publications via proper utilization of the “Research Tools”. Proper tools allow the researchers to increase the research impact and citations for their publications. These workshop series will provide various techniques on how one can increase the visibility and enhance the impact of one’s research work.
The Evolving Role of the Library in Institutional and Faculty AssessmentState Of Innovation
A Discussion of Research Metrics - June 2016
Kim Powel, Life Sciences Informationist Emory University
Holly Miller, Associate Dean Scholarly Content and Faculty Engagement, Florida International University
Joey Figueroa, Solutions Specialist Thomson Reuters
Liam Cleere University College Dublin’s Senior Manager for Research Analytics...IrishHumanitiesAlliance
From the IHA Impact in the Humanities event 8 June held in QUB and co-sponsored by InterTradeIreland
Panel Three Impact: How should we capture it?
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This document summarizes a presentation about the development of bibliometric and citation analysis services at the University of Manchester. It discusses how the university provides citation reports and training to faculty and leadership. It also describes how the university uses citation data to identify highly cited research, benchmark performance against peer institutions, and inform potential collaborations.
Research evaluation is relevant to librarians because they can provide expertise and data to various stakeholders evaluating research performance. Key stakeholders include university rankings, research funders, institutions, and researchers themselves. There are several tools and data sources librarians can leverage, such as journal rankings and metrics, citation data from databases, and altmetrics. Librarians can advise on using these evaluation methods and managing research information and outputs through repositories and current research information systems.
The document provides an overview of the Times Higher Education (THE) methodology for ranking universities globally. It discusses the data sources and metrics used across five pillars: teaching, research, citations, industry income, and international outlook. It analyzes the performance of UK universities compared to universities in the US, Germany, and China. While UK universities demonstrate strengths in areas like productivity, reputation, and their international outlook, the analysis finds they face challenges from increased investment and capabilities in emerging nations and traditional competitors who are adapting the UK's best practices.
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3) Key findings from the students' analysis of Scimago metrics for the LIS field were that the US has the most publications and citations while the UK, China, Canada, Germany and Spain also have significant involvement.
The role of open access with regards to bibliometrics in the merit and resour...Gustaf Nelhans
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Compositions of iron-meteorite parent bodies constrainthe structure of the pr...Sérgio Sacani
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptxshubhijain836
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
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https://hal.science/hal-04582287
SDSS1335+0728: The awakening of a ∼ 106M⊙ black hole⋆Sérgio Sacani
Context. The early-type galaxy SDSS J133519.91+072807.4 (hereafter SDSS1335+0728), which had exhibited no prior optical variations during the preceding two decades, began showing significant nuclear variability in the Zwicky Transient Facility (ZTF) alert stream from December 2019 (as ZTF19acnskyy). This variability behaviour, coupled with the host-galaxy properties, suggests that SDSS1335+0728 hosts a ∼ 106M⊙ black hole (BH) that is currently in the process of ‘turning on’. Aims. We present a multi-wavelength photometric analysis and spectroscopic follow-up performed with the aim of better understanding the origin of the nuclear variations detected in SDSS1335+0728. Methods. We used archival photometry (from WISE, 2MASS, SDSS, GALEX, eROSITA) and spectroscopic data (from SDSS and LAMOST) to study the state of SDSS1335+0728 prior to December 2019, and new observations from Swift, SOAR/Goodman, VLT/X-shooter, and Keck/LRIS taken after its turn-on to characterise its current state. We analysed the variability of SDSS1335+0728 in the X-ray/UV/optical/mid-infrared range, modelled its spectral energy distribution prior to and after December 2019, and studied the evolution of its UV/optical spectra. Results. From our multi-wavelength photometric analysis, we find that: (a) since 2021, the UV flux (from Swift/UVOT observations) is four times brighter than the flux reported by GALEX in 2004; (b) since June 2022, the mid-infrared flux has risen more than two times, and the W1−W2 WISE colour has become redder; and (c) since February 2024, the source has begun showing X-ray emission. From our spectroscopic follow-up, we see that (i) the narrow emission line ratios are now consistent with a more energetic ionising continuum; (ii) broad emission lines are not detected; and (iii) the [OIII] line increased its flux ∼ 3.6 years after the first ZTF alert, which implies a relatively compact narrow-line-emitting region. Conclusions. We conclude that the variations observed in SDSS1335+0728 could be either explained by a ∼ 106M⊙ AGN that is just turning on or by an exotic tidal disruption event (TDE). If the former is true, SDSS1335+0728 is one of the strongest cases of an AGNobserved in the process of activating. If the latter were found to be the case, it would correspond to the longest and faintest TDE ever observed (or another class of still unknown nuclear transient). Future observations of SDSS1335+0728 are crucial to further understand its behaviour. Key words. galaxies: active– accretion, accretion discs– galaxies: individual: SDSS J133519.91+072807.4
Presentation of our paper, "Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection", by K. Tsigos, E. Apostolidis, S. Baxevanakis, S. Papadopoulos, V. Mezaris. Presented at the ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) of the ACM Int. Conf. on Multimedia Retrieval (ICMR’24), Thailand, June 2024. https://doi.org/10.1145/3643491.3660292 https://arxiv.org/abs/2404.18649
Software available at https://github.com/IDT-ITI/XAI-Deepfakes
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The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Synopsis presentation VDR gene polymorphism and anemia (2).pptx
Research-only rankings of HEIs:Is it possible to measure scientific performance?
1. Research-only rankings of HEIs:
Is it possible to measure scientific
performance?
Ludo Waltman
Centre for Science and Technology Studies (CWTS), Leiden University
ACA European Policy Seminar “12 years with global university rankings”
Brussels, October 15, 2015
3. Outline
• What do we mean by scientific performance?
• Measuring scientific performance in the CWTS Leiden
Ranking
• Is it really possible to measure scientific performance?
2
4. Indicators of scientific performance
• Publications:
– Total
– Per faculty
– Per student
– Interdisciplinary
– International collaboration
– Nature and Science
• Citations:
– Total
– Per publication
– Per faculty
– Highly cited researchers
• Reputation survey
• Others:
– Nobel Prizes/Field Medals
– PhDs awarded
– PhDs awarded per faculty
– Post-doc positions
– Research income
3
5. What do we mean by scientific
performance?
4
Size-dependent concept of scientific performance:
• Overall contribution of a university to science
• Total number of ‘performance points’ (e.g., publications,
citations, expert recommendations, awards)
Size-independent concept of scientific performance:
• Contribution of a university to science relative to
available resources
• Number of ‘performance points’ divided by available
resources (e.g., number of faculty, research budget)
6. Indicators of scientific performance
• Publications:
– Total
– Per faculty
– Per student
– Interdisciplinary
– International collaboration
– Nature and Science
• Citations:
– Total
– Per publication
– Per faculty
– Highly cited researchers
• Reputation survey
• Others:
– Nobel Prizes/Field Medals
– PhDs awarded
– PhDs awarded per faculty
– Post-doc positions
– Research income
6
Size-dependent indicators Size-independent indicators
Rankings based
on composite
indicators
7. Mixing up different concepts of scientific
performance
• Shanghai, THE, QS, and US News use composite
indicators
• These composite indicators combine size-dependent
and size-independent indicators
7
It is unclear which concept of scientific performance is
measured by Shanghai, THE, QS, and US News
8. CWTS Leiden Ranking
• Focused completely on measuring scientific performance
• Purely based on bibliometric indicators
• No composite indicators
• Separate indicators of size-dependent and size-
independent scientific performance
8
10. Main indicators
• Size-dependent:
– P: Number of publications of a university
– P(top 10%): Number of publications belonging to the top 10% most cited
of their field
• Size-independent:
– PP(top 10%): Proportion of publications belonging to the top 10% most
cited of their field
10
PP top 10% =
P(top 10%)
P
11. Advanced bibliometric methodology
• Field classification system
• Counting citations vs. counting highly cited publications
• Full counting vs. fractional counting
• Bibliographic database
11
12. About 4000 fields of science in the
Leiden Ranking
12
Social sciences
and humanities
Biomedical and
health sciences
Life and earth
sciences
Physical
sciences and
engineering
Mathematics and
computer science
13. Why count highly cited publications?
• Leiden Ranking counts number of highly cited
publications (top 10%)
• THE, QS, and US News count number of citations
• Effect of counting number of citations:
13
15. Why count highly cited publications?
15
Counting citations Counting highly cited publications
Leaving out Göttingen’s
most cited publication
16. How to handle publications co-authored
by multiple institutions?
• THE, QS, and US News:
– Co-authored publications are fully assigned to each co-authoring
institution (full counting)
• Leiden Ranking:
– Co-authored publications are fractionally assigned to each co-authoring
institution (fractional counting)
16
This publication is
assigned to
Enschede, Twente,
and Leiden with a
weight of 1/3 each
17. Why use fractional counting?
17
Full counting is biased in favor of universities with a
strong biomedical focus
18. Choice of bibliographic database:
Is more data always better?
18
Database 1:
• Restricted to international scientific journals
• University A: P = 2000; P(top 10%) = 200; PP(top 10%) = 10%
• University B: P = 1000; P(top 10%) = 100; PP(top 10%) = 10%
Database 2:
• Also includes a lot of national scientific journals, trade journals, popular
magazines, etc.
• University A: P = 2000; P(top 10%) = 220; PP(top 10%) = 11%
• University B: P = 1500; P(top 10%) = 135; PP(top 10%) = 9%
US university Chinese university
19. Choice of bibliographic database:
Is more data always better?
• Universities from China, Russia, France, Germany, etc.
may not benefit at all from having more data
• Indicators should be based on a restricted database of
publications
19
Leiden Ranking uses Web of Science, but excludes
national scientific journals, trade journals, and popular
magazines
20. How much difference does it make?
Comparing LR and THE citation scores
• Weak correlation between size-independent citation
scores in Leiden Ranking and THE
• Leiden Ranking score of 10% corresponds with THE
scores between 30 and 85 20
21. Fundamental problem of size-
independent bibliometric indicators
• Same resources as Univ. B
• P = 1000
• P(top 10%) = 200
• PP(top 10%) = 20%
• Same resources as Univ. A
• P = 2000
• P(top 10%) = 300
• PP(top 10%) = 15%
21
Univ. A Univ. B
• Taking into account that both universities have the
same resources, it is clear that university B has
performed better
• However, according to the PP(top 10%) indicator,
university A has performed better
22. Conclusions
• Is it really possible to measure scientific performance?
– Size-dependent concept of scientific performance:
• Reasonable bibliometric measurements are possible
– Size-independent concept of scientific performance:
• Purely bibliometric measurements are problematic
• Do not combine size-dependent and size-independent
indicators of scientific performance
• Bibliometric indicators should:
– Be normalized using a sufficiently large number of fields
– Count the number of highly cited publications, not the number of citations
– Use fractional counting, not full counting
– Be based on a restricted database of publications
22