Category Archives: oa.mendeley

Coverage and Correlations Between Open Citations in Crossref and Readership in Mendeley: Different Fields of Brazilian Science | Journal of Scientometric Research

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Abstract:  This study dwells on the coverage of altmetric indicators in the Mendeley reference manager, citations in the Crossref platform, and the correlations between readers and citations of papers by researchers working in Brazil, according to different fields and subfields of knowledge.

We analyzed 152,727 scientific papers published between 2017-2018 by researchers working in Brazil.

The coverage of Brazilian papers by Mendeley is relatively high (87.91%) and 63% of Brazilian papers had citations in Crossref. In the Brazilian context, Mendeley readership is relatively high (average R2 reaching 70% in some areas).

The correlation between readers in Mendeley and citations in Crossref of Brazilian scientific output is between moderate and high. This indicates that Mendeley and Crossref data can be relevant for evaluating Brazilian science. The data reveal that Mendeley readership can, in many fields, predict citations. These data are generally higher and mor homogeneous than those found in the international researches. The scientific communication of international context (based on international journals) and Brazilian (heavily published in national open access journals) and the information sources used in the studies may partly explain the differences between them.

Do altmetric scores reflect article quality? Evidence from the UK Research Excellence Framework 2021 – Thelwall – Journal of the Association for Information Science and Technology – Wiley Online Library

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Abstract:  Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from Altmetric.com and Mendeley associate with individual article quality scores. It exploits expert norm-referenced peer review scores from the UK Research Excellence Framework 2021 for 67,030+ journal articles in all fields 2014–2017/2018, split into 34 broadly field-based Units of Assessment (UoAs). Altmetrics correlated more strongly with research quality than previously found, although less strongly than raw and field normalized Scopus citation counts. Surprisingly, field normalizing citation counts can reduce their strength as a quality indicator for articles in a single field. For most UoAs, Mendeley reader counts are the best altmetric (e.g., three Spearman correlations with quality scores above 0.5), tweet counts are also a moderate strength indicator in eight UoAs (Spearman correlations with quality scores above 0.3), ahead of news (eight correlations above 0.3, but generally weaker), blogs (five correlations above 0.3), and Facebook (three correlations above 0.3) citations, at least in the United Kingdom. In general, altmetrics are the strongest indicators of research quality in the health and physical sciences and weakest in the arts and humanities.

An Exploration of Mendeley Reader and Google Scholar Citation for Analysing Indexed Article

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Abstract— This paper aims to analyze the number of readers from the published articles of 100 Indonesian researchers in Mendeley reference management software. The list of Indonesian scientists is obtained from the webometrics ranking of scientists. We used the Application Programming Interface (API) of Mendeley to count the number of readers for each article in Mendeley and combine it with Google Scholar citation using the scrap method. We processed ten mostly cited articles that are indexed in the first page of the Google Scholar for each designated scientist. Furthermore, we used the Pearson method to analyze the correlation of the Mendeley readers count and the Google Scholar citation. The results show that they are correlated with a value of 0.266 according to the method of Pearson with N = 1000. Furthermore we found that many online Indonesian journals have no Digital Object Identifier (DOI) yet. Our evaluation of the publication results of 100 Indonesian researchers shows that authors who upload their scientific work on Mendeley, have higher citation number in Google Scholar, because their papers are widely available on the Internet.

Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status | SpringerLink

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The study of temporal trends in altmetrics is under-developed, and this multi-year observation study addresses some of the deficits in our understanding of altmetric behaviour over time. The attention surrounding research outputs, as partially captured by altmetrics, or alternative metrics, constitutes many varied forms of data. Over the years 2008–2013, a set of 7739 papers were sampled on six occasions. Five altmetric data sources were recorded (Twitter, Mendeley, News, Blogs and Policy) and analysed for temporal trends, with particular attention being paid to their Open Access status and discipline. Twitter attention both starts and ends quickly. Mendeley readers accumulate quickly, and continue to grow over the following years. News and blog attention is quick to start, although news attention persists over a longer timeframe. Citations in policy documents are slow to start, and are observed to be growing over a decade after publication. Over time, growth in Twitter activity is confirmed, alongside an apparent decline in blogging attention. Mendeley usage is observed to grow, but shows signs of recent decline. Policy attention is identified as the slowest form of impact studied by altmetrics, and one that strongly favours the Humanities and Social Sciences. The Open Access Altmetrics Advantage is seen to emerge and evolve over time, with each attention source showing different trends. The existence of late-emergent attention in all attention sources is confirmed.

[2212.07811] Do altmetric scores reflect article quality? Evidence from the UK Research Excellence Framework 2021

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Abstract:  Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from this http URL and Mendeley associate with journal article quality. It exploits expert norm-referenced peer review scores from the UK Research Excellence Framework 2021 for 67,030+ journal articles in all fields 2014-17/18, split into 34 Units of Assessment (UoAs). The results show that altmetrics are better indicators of research quality than previously thought, although not as good as raw and field normalised Scopus citation counts. Surprisingly, field normalising citation counts can reduce their strength as a quality indicator for articles in a single field. For most UoAs, Mendeley reader counts are the best, tweet counts are also a relatively strong indicator in many fields, and Facebook, blogs and news citations are moderately strong indicators in some UoAs, at least in the UK. In general, altmetrics are the strongest indicators of research quality in the health and physical sciences and weakest in the arts and humanities. The Altmetric Attention Score, although hybrid, is almost as good as Mendeley reader counts as a quality indicator and reflects more non-scholarly impacts.

 

NIH Office of Data Science Strategy Announces New Initiative to Improve Access to NIH-funded Data | Data Science at NIH

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“Generalist Repository Ecosystem Initiative will make it easier to find and reuse NIH-funded data…

GREI is intended to supplement the domain-specific data repositories that are critical components of the NIH biomedical data ecosystem for data sharing.

The GREI builds on the findings from the 2019-2020 NIH Figshare pilot and the NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse. ODSS anticipates that this initiative will further enhance the biomedical data ecosystem and help researchers find and share data from NIH-funded studies in generalist repositories.

The GREI includes six established generalist repositories that will work together to establish consistent metadata, develop use cases for data sharing, train and educate researchers on FAIR data and the importance of data sharing, and more.

This initiative will also aim to improve discoverability of data within and across participating generalist repositories and lead to greater reproducibility and reuse of data.”

NIH Office of Data Science Strategy Announces New Initiative to Improve Access to NIH-funded Data | Data Science at NIH

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“Generalist Repository Ecosystem Initiative will make it easier to find and reuse NIH-funded data…

GREI is intended to supplement the domain-specific data repositories that are critical components of the NIH biomedical data ecosystem for data sharing.

The GREI builds on the findings from the 2019-2020 NIH Figshare pilot and the NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse. ODSS anticipates that this initiative will further enhance the biomedical data ecosystem and help researchers find and share data from NIH-funded studies in generalist repositories.

The GREI includes six established generalist repositories that will work together to establish consistent metadata, develop use cases for data sharing, train and educate researchers on FAIR data and the importance of data sharing, and more.

This initiative will also aim to improve discoverability of data within and across participating generalist repositories and lead to greater reproducibility and reuse of data.”

NIH Office of Data Science Strategy Announces New Initiative to Improve Access to NIH-funded Data | Data Science at NIH

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“Generalist Repository Ecosystem Initiative will make it easier to find and reuse NIH-funded data…

GREI is intended to supplement the domain-specific data repositories that are critical components of the NIH biomedical data ecosystem for data sharing.

The GREI builds on the findings from the 2019-2020 NIH Figshare pilot and the NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse. ODSS anticipates that this initiative will further enhance the biomedical data ecosystem and help researchers find and share data from NIH-funded studies in generalist repositories.

The GREI includes six established generalist repositories that will work together to establish consistent metadata, develop use cases for data sharing, train and educate researchers on FAIR data and the importance of data sharing, and more.

This initiative will also aim to improve discoverability of data within and across participating generalist repositories and lead to greater reproducibility and reuse of data.”

Early Indicators of Scientific Impact: Predicting Citations with Altmetrics

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Abstract:  Identifying important scholarly literature at an early stage is vital to the academic research community and other stakeholders such as technology companies and government bodies. Due to the sheer amount of research published and the growth of ever-changing interdisciplinary areas, researchers need an efficient way to identify important scholarly work. The number of citations a given research publication has accrued has been used for this purpose, but these take time to occur and longer to accumulate. In this article, we use altmetrics to predict the short-term and long-term citations that a scholarly publication could receive. We build various classification and regression models and evaluate their performance, finding neural networks and ensemble models to perform best for these tasks. We also find that Mendeley readership is the most important factor in predicting the early citations, followed by other factors such as the academic status of the readers (e.g., student, postdoc, professor), followers on Twitter, online post length, author count, and the number of mentions on Twitter, Wikipedia, and across different countries.

 

For Mendeley Data winner, sharing FAIR data helps researchers learn from each other

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“Vanessa, a Research Fellow in the Department of Translational Research and New Technologies in Medicine and Surgery at the University of Pisa, is a recent winner of the Mendeley Data FAIRest Datasets Award. The award recognizes researchers or research groups that make their research data available for additional research and do so in a way that exemplifies the FAIR Data Principles – Findable, Accessible, Interoperable, Reusable….”

Elsevier’s Presence on Campuses Spans More Than Journals. That Has Some Scholars Worried. – The Chronicle of Higher Education

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“Lyon, a librarian of scholarly communications at the University of Texas at Austin, listed scholarly-publishing tools that had been acquired by the journal publishing giant Elsevier. In 2013, the company bought Mendeley, a free reference manager. It acquired the Social Science Research Network, an e-library with more than 850,000 papers, in 2016. And it acquired the online tools Pure and Bepress — which visualize research — in 2012 and 2017, respectively.

Lyon said she started considering institutions’ dependence on Elsevier when the company acquired Bepress two years ago. She was shocked, she recalled in a recent interview.

“It just got me thinking,” she said. Elsevier had it all: Institutional repositories, preprints of journal articles, and analytics. “Elsevier, Elsevier, Elsevier, Elsevier, Elsevier.”

Scholars are beginning to discuss the idea of Elsevier-as-monolith at conferences and in their research. Not only are librarians and researchers speaking openly about the hefty costs of bulk subscriptions to the company’s premier journals, but they’re also paying attention to the products that Elsevier has acquired, several of which allow its customers to store data and share their work….”

Mendeley Data: Now Available via OpenAIRE – Mendeley Blog

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“OpenAIRE is a network of repositories, archives and journals that support Open Access policies. OpenAIRE is a Horizon 2020 project, aimed at supporting the implementation of EC and ERC Open Access policies; open access to scientific peer reviewed publications is obligatory for all Horizon 2020 funded projects. The goal is to make as much European funded research output as possible, available to all, via the OpenAIRE portal. Every dataset published in Mendeley Data, which has an associated article or project, now becomes automatically aggregated to the OpenAIRE portal, where it can be found alongside other research. This enables researchers to discover research data from a wide range of repositories in one place. This means Mendeley Data is part of a global collaborative discourse promoting open science. With the availability of entire research projects and associated data, data reuse is supported, accelerating the pace of research.”

A “Sneak Peek” at papers under consideration

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“[T]his week we’re excited to debut Cell Press Sneak Peek. Simply put, Sneak Peek is a sharing group for papers currently under consideration at Cell Press journals. Authors whose manuscripts have been sent out for peer review will have the option of sharing their submitted manuscript in Sneak Peek using Mendeley. To read and comment on them, all you need is to register for the group on Mendeley….Cell Press’s policy on preprints remains the same. Posting a preprint does not impact consideration at any Cell Press journal, and manuscripts that appear on preprint servers can also be posted on Sneak Peek….”

Elsevier acquires online community SSRN

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“STM publisher Elsevier has acquired the largest repository and community for social science and humanities researchers in the world, SSRN, to accelerate its social strategy and scale the network up for the benefit of “the entire scientific ecosystem”.

Elsevier has not disclosed how much it paid for American research preprint repository and online community SSRN, but revealed it will be integrated with Elsevier’s reference management programme Mendeley, broadening its offering and helping researchers to better manage the publication journey from start to finish….”