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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 underpo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024497/ https://www.ncbi.nlm.nih.gov/pubmed/27651823 http://dx.doi.org/10.1186/s12995-016-0133-6 |
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author | Bendels, Michael H. K. Brüggmann, Dörthe Schöffel, Norman Groneberg, David A. |
author_facet | Bendels, Michael H. K. Brüggmann, Dörthe Schöffel, Norman Groneberg, David A. |
author_sort | Bendels, Michael H. K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5024497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50244972016-09-20 Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring Bendels, Michael H. K. Brüggmann, Dörthe Schöffel, Norman Groneberg, David A. J Occup Med Toxicol Methodology 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. BioMed Central 2016-09-15 /pmc/articles/PMC5024497/ /pubmed/27651823 http://dx.doi.org/10.1186/s12995-016-0133-6 Text en © The Author(s). 2016 Open AccessThis 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. |
spellingShingle | Methodology Bendels, Michael H. K. Brüggmann, Dörthe Schöffel, Norman Groneberg, David A. Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring |
title | Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring |
title_full | Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring |
title_fullStr | Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring |
title_full_unstemmed | Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring |
title_short | Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring |
title_sort | gendermetrics.net: a novel software for analyzing the gender representation in scientific authoring |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024497/ https://www.ncbi.nlm.nih.gov/pubmed/27651823 http://dx.doi.org/10.1186/s12995-016-0133-6 |
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