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EN

Comparison of OpenAlex and Scopus coverage of German institutions’ publications in top-tier journals

Authors : Andrey Lovakov, Ivan Sterligov

OpenAlex has recently emerged as a leading alternative to proprietary bibliometric sources. However, concerns remain regarding the quality of its metadata, especially the institutional profiles which are crucial for evaluating organizations. This study assesses the quality of affiliation data in OpenAlex using German research institutions.

Publications from top-tier journals were analyzed and institutional publication counts in OpenAlex were systematically compared with counts in Scopus. The results show that OpenAlex generally contains more publications at the journal level, reflecting its broader coverage. However, institutional publication counts in OpenAlex are consistently lower, indicating missing or incorrectly assigned affiliations.

Nevertheless, the correlations between institutional outputs in both databases are very high, suggesting that relative institutional rankings remain stable. These findings suggest that OpenAlex is suitable for comparative institutional analyses in academic research but requires further improvement in affiliation metadata before it can be used for evaluation contexts that rely on absolute publication counts.

DOI : https://doi.org/10.48550/arXiv.2605.01337

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The State of Scientific Poster Sharing and Reuse

Authors : Aydan Gasimova, Paapa Mensah-Kane, Gerard F. Blake, Sanjay Soundarajan, James ONeill, Bhavesh Patel

Scientific posters are one of the most common forms of scholarly communication and contain early-stage insights with potential to accelerate scientific discovery. We investigated where posters are shared, to what extent their sharing aligns with the FAIR principles, and how commonly they are reused.

We identified 86 platforms hosting posters, with many not assigning persistent identifiers. A total of 150k posters are shared as of 2024 on the 43 platforms where we were able to count, which is relatively low. Looking in more detail at posters shared on Zenodo and Figshare, we found that repositories are not always supporting structured metadata critical for poster discovery, like conference information, and that researchers are not providing such metadata even if they are supported.

We also observed that while there is some engagement with posters in terms of views and downloads, citing posters is not yet a common practice. Our recommendations are for the scientific community to encourage poster sharing and reuse and establish clear guidelines to make posters FAIR.

DOI : https://doi.org/10.48550/arXiv.2604.21150

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EN

Un/Sustainable Peer Review and Generative AI: Ethical Gaps, Editorial Acceleration, and the Whitewashing of Technological Solutionism

Authors : Angel Gord, Chris H. Gray, Ana Rodrígue, Elías Said-Hung, Raúl Tabaré

Generative AI in peer review raises ethical and environmental concerns and risks deepening existing inequities in scholarly publishing. Celebrated gains in speed often mask declines in quality and accountability.

Training and deploying large models impose environmental costs. In editorial workflows, AI can privilege technical fixes over structural reform, and evidence shows it reproduces human biases while being cast as neutral. We call for a renewed commitment to open-science principles anchored in human oversight, deep sustainability, and broader justice.

The paper concludes by interrogating sustainability’s absence from green-economy debates and mapping the values likely to shape the future of peer review.

URL : Un/Sustainable Peer Review and Generative AI: Ethical Gaps, Editorial Acceleration, and the Whitewashing of Technological Solutionism

DOI : https://doi.org/10.17742/IMAGE29731

Catégories
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Navigating the ethical landscape of scholarly publishing: a comparative evaluation of Gemini and DeepSeek LLMs in addressing authorship and contributorship disputes

Authors : Kannan Sridharan, Sivarama Krishnan

Background:

The rising complexity of publication ethics, particularly authorship disputes, necessitates exploring Large Language Models (LLMs) as potential evaluative tools. This study compares the performance of Google Gemini 2.5 Flash and DeepSeek-V3.2 against expert Committee on Publication Ethics (COPE) forum responses.

Methods:

A cross-sectional analysis including 12 COPE authorship and contributorship cases was conducted using three prompting strategies: Minimal, Deterministic, and Stochastic. Responses were scored across seven domains on a 5-point Likert scale (1 = poor, 5 = excellent) by independent raters.

Results:

Both LLMs achieved perfect scores (5 ± 0) in Actionability of Recommendations and high marks in Safety and Avoidance of Hallucination (4.88 ± 0.33). In the Consistency with COPE Principles domain, DeepSeek performed slightly better than Gemini (4.45 ± 1.0 vs. 4.12 ± 1.29), while Gemini showed a better Overall Appropriateness (4.03 ± 0.98 vs. 3.82 ± 1.29) but they were not statistically significant. Both models struggled most with Identification of Ethical Issues (Gemini: 3.91 ± 1.33; DeepSeek: 3.82 ± 1.29). Under Minimal prompts, Gemini’s ethical identification was lower (3.55 ± 1.44) compared to Deterministic/Stochastic prompts (4.09 ± 1.3). Qualitatively, Gemini recorded an 8% major disagreement rate with COPE, while DeepSeek had a 16% combined (minor and major) disagreement rate. Mean similarity scores to COPE forum experts were approximately 4 for both models. Both models missed specific legal/copyright nuances but provided unique “value-add” strategies, such as author disassociation statements and editorial de-escalation training, not present in original COPE forum advice.

Conclusion:

LLMs demonstrated high degree of alignment with COPE expert ethical reasoning. While they possess a “legal blind spot,” their ability to provide actionable and clear guidance, optimized through structured prompting, makes them valuable supplementary tools for journal editors.

URL : Navigating the ethical landscape of scholarly publishing: a comparative evaluation of Gemini and DeepSeek LLMs in addressing authorship and contributorship disputes

DOI : https://doi.org/10.3389/frma.2026.1781697

Catégories
EN

Library Publishing in Practice: A Case Study in Open Course Publications

Authors : Ioana Liuta, Jennifer Zerkee

Introduction: Open course publications provide students with real-world experience of the scholarly publishing process, engaging students as information creators rather than consumers. Open course publications, an example of open pedagogy in action, can be journals or monographs created as an assignment in a credit bearing course. Supporting open assignments is one of the most impactful activities undertaken by Digital Publishing units in academic libraries, educating the next generation of scholars about the value of open access. This article describes Simon Fraser University Library’s approach to supporting in-class publication projects, focusing on in-class open monographs.

Description of the service: The Digital Publishing Librarian and Copyright Specialist collaborate with an instructor to plan support for their course publication. This includes working with the instructor to plan the project; providing an in-class workshop on key scholarly publishing topics, including an introduction to open access and Creative Commons licences; ongoing support as needed through the semester; and production and publication of the finalized monograph.

Next steps: The Library is currently addressing long-term sustainability needs for these publications. The authors are considering further opportunities for outreach to instructors beyond the humanities and social sciences, as well as potential connections to undergraduate research activities, while recognizing the capacity required to provide and expand this service.

URL : Library Publishing in Practice: A Case Study in Open Course Publications

DOI : https://doi.org/10.31274/jlsc.21364

Catégories
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Diverse roles of twitter in research evaluation: original tweets and retweets capture different types of engagements with scholarly articles

Authors :  Ashraf Maleki, Kim Holmberg

Altmetrics need to be more critically assessed in terms of the extent to which they reflect impact and quality of research compared to popularity or mere attention. Twitter (now rebranded as X) is a popular platform to, among other things, discuss and share scientific articles.

Earlier altmetric studies have often focused on investigating whether the number of tweets mentioning scientific articles could be used as an indicator of scientific impact or attention, with results showing weak to moderate correlations with citation counts. But all tweets may not be equal, as original tweets and retweets may reflect different levels of engagement and impact. Using a dataset of over 330,000 PLOS publications, this study explores whether these two forms of Twitter activity correlate differently with traditional citation metrics and how these relationships vary across disciplines.

The findings showed the correlation between citations and original tweets was consistently higher than that between citations and retweets and significant weak or moderate, but higher in Social Science and Humanities than in Natural Science, Engineering and Medicine fields. Also, including zero citation counts improved the correlation coefficients for original tweets, but reduced that of retweets.

This indicates that original tweets may be more aligned with citation counts as an indicator of scholarly impact, whereas retweets might reflect broader dissemination and popularity. In conclusion, tweets and retweets are different altmetric indicators and should be considered as two different metrics and analysed separately.

URL : Diverse roles of twitter in research evaluation: original tweets and retweets capture different types of engagements with scholarly articles

DOI : https://doi.org/10.1093/reseval/rvag014

Catégories
EN

Evaluating Open Access Advantages for Citations and Altmetrics (2011-21): A Dynamic and Evolving Relationship

Author : Mike Taylor

Differences between the impacts of Open Access (OA) and non-OA research have been observed over a range of citation and altmetric indicators, usually finding an Open Access Advantage (OAA). However, science-wide analyses covering multiple years, indicators and disciplines are lacking. Using citations and six altmetrics for 33.3M articles published 2011-21, we compare OA and non-OA papers.

The results show that there is no universal OAA across all disciplines or impact indicators: the OAA for citations tends to be lower for recent papers, whereas the OAAs for news, blogs and Twitter are consistent across years and unrelated to volume of OA publications. Wikipedia OAAs are consistently pronounced for all subjects except Humanities (HU) and Social Sciences. Patent OAAs for are strongest for Medical & Health Sciences (MHS) and Life Sciences (LS).

Uniquely, the OAAs for Policy citations is stronger for recently published research. These results support different hypotheses for different subjects and indicators. The evidence is consistent with OA accelerating research impact in MHS, LS and HU; increased visibility/discoverability being a factor in promoting the socio-economic impact; and that OA is a factor in growing online engagement with research. OAAs are therefore complex, dynamic, multi-factorial and require considerable analysis to understand.

URL : Evaluating Open Access Advantages for Citations and Altmetrics (2011-21): A Dynamic and Evolving Relationship

DOI : Serendipity and Scientific Styles: An Ordinary