PUBBLICAZIONE/PUBLICATION
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Item type:Publication, Gender differences among active reviewers: an investigation based on publons(2022) ;Zhang, L. ;Shang, Y. ;Huang, Y.Sivertsen, G.Peer review of scientific manuscripts before publication is essential in scholarly publishing, and most active researchers hold relationships with a number of journals as both an author and a reviewer. There have been several studies focusing on gender balance in academic research and authorship, but fewer studies on our role as reviewers. Publons is a commercial website run by Clarivate Analytics that allows researchers to track and verify their peer review activities and be recognized for it. The platform features over 2 million researchers and 6.9 million reviews for more than 5,000 partnered journals, listing the most active reviewers as “top reviewers”. Our study focuses on gender representation in this ‘top reviewer’ group while also looking at the countries, regions and research fields they represent, as well as the relationship between their roles as authors and reviewers. The results show that male reviewers dominate in almost all countries, regions, and research fields. Male reviewers generally contribute to review work more frequently than females; however, female reviewers write longer reviews. The correlations between reviewing activity and research activity are generally weak overall and within specific research fields. This may reflect that active reviewers are not necessarily the most productive researchers in their fields. What clearly emerges from our results is the need for more concern over gender representation in the quality assurance and gatekeeping functions of scholarly publishing. © 2021, Akadémiai Kiadó, Budapest, Hungary.Item type:Publication, An intersectional approach to analyse gender productivity and open access: a bibliometric analysis of the Italian National Research Council Open PDF(2021) ;Ruggieri, R. ;Pecoraro, F.Luzi, D.Gender equality and Open Access (OA) are priorities within the European Research Area and cross-cutting issues in European research program H2020. Gender and openness are also key elements of responsible research and innovation. However, despite the common underlying targets of fostering an inclusive, transparent and sustainable research environment, both issues are analysed as independent topics. This paper represents a first exploration of the inter-linkages between gender and OA analysing the scientific production of researchers of the Italian National Research Council under a gender perspective integrated with the different OA publications modes. A bibliometric analysis was carried out for articles published in the period 2016–2018 and retrieved from the Web of Science. Results are presented constantly analysing CNR scientific production in relation to gender, disciplinary fields and OA publication modes. These variables are also used when analysing articles that receive financial support. Our results indicate that gender disparities in scientific production still persist particularly in STEM disciplines, while the gender gap is the closest to parity in medical and agricultural sciences. A positive dynamic toward OA publishing and women’s scientific production is shown when disciplines with well-established open practices are related to articles supported by funds. A slightly higher women’s propensity toward OA is shown when considering Gold OA, or authorships with women in the first and last article by-line position. The prevalence of Italian funded articles with women’s contributions published in Gold OA journals seems to confirm this tendency, especially if considering the weak enforcement of the Italian OA policies. © 2021, The Author(s).Item type:Publication, How to detect indications of potential sources of bias in peer review: A generalized latent variable modeling approach exemplified by a gender study Open PDF(2008) ;Bornmann, L. ;Mutz, R.Daniel, H.-D.The universalism norm of the ethos of science requires that contributions to science are not excluded because of the contributors' gender, nationality, social status, or other irrelevant criteria. Here, a generalized latent variable modeling approach is presented that grant program managers at a funding organization can use in order to obtain indications of potential sources of bias in their peer review process (such as the applicants' gender). To implement the method, the data required are the number of approved and number of rejected applicants for grants among different groups (for example, women and men or natural and social scientists). Using the generalized latent variable modeling approach indications of potential sources of bias can be examined not only for grant peer review but also for journal peer review. © 2008 Elsevier Ltd. All rights reserved.