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Gendermetrics.NET : a novel software for analyzing the gender representation in scientific authoring

  • Background: Imbalances in female career promotion are believed to be strong in the field of academic science. A primary parameter to analyze gender inequalities is the gender authoring in scientific publications. Since the presently available data on gender distribution is largely limited to underpowered studies, we here develop a new approach to analyze authors’ genders in large bibliometric databases. Results: A SQL-Server based multiuser software suite was developed that serves as an integrative tool for analyzing bibliometric data with a special emphasis on gender and topographical analysis. The presented system allows seamless integration, inspection, modification, evaluation and visualization of bibliometric data. By providing an adaptive and almost fully automatic integration and analysis process, the inter-individual variability of analysis is kept at a low level. Depending on the scientific question, the system enables the user to perform a scientometric analysis including its visualization within a short period of time. Conclusion: In summary, a new software suite for analyzing gender representations in scientific articles was established. The system is suitable for the comparative analysis of scientific structures on the level of continents, countries, cities, city regions, institutions, research fields and journals.

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Author:Michael Hans Karl BendelsORCiD, Dörthe BrüggmannORCiDGND, Norman SchöffelGND, Jan David Alexander GronebergORCiDGND
URN:urn:nbn:de:hebis:30:3-451396
DOI:https://doi.org/10.1186/s12995-016-0133-6
ISSN:1745-6673
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/27651823
Parent Title (English):Journal of occupational medicine and toxicology
Publisher:BioMed Central
Place of publication:London
Document Type:Article
Language:English
Year of Completion:2016
Date of first Publication:2016/09/15
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2017/11/23
Tag:Bibliometric analysis; Gender; Gender analysis; Science structure; Scientometric analysis; Software tool
Volume:11
Issue:Art. 43
Page Number:12
First Page:1
Last Page:12
Note:
© 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
HeBIS-PPN:427971357
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Medizin
Licence (German):License LogoCreative Commons - Namensnennung 4.0