Cargando…

Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology

While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quan...

Descripción completa

Detalles Bibliográficos
Autores principales: Bonham, Kevin S., Stefan, Melanie I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638210/
https://www.ncbi.nlm.nih.gov/pubmed/29023441
http://dx.doi.org/10.1371/journal.pcbi.1005134
_version_ 1783270706985828352
author Bonham, Kevin S.
Stefan, Melanie I.
author_facet Bonham, Kevin S.
Stefan, Melanie I.
author_sort Bonham, Kevin S.
collection PubMed
description While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quantitative biology. To this end, we examined the proportion of female authors in publications from the PubMed and arXiv databases. There are fewer female authors on research papers in computational biology, as compared to biology in general. This is true across authorship position, year, and journal impact factor. A comparison with arXiv shows that quantitative biology papers have a higher ratio of female authors than computer science papers, placing computational biology in between its two parent fields in terms of gender representation. Both in biology and in computational biology, a female last author increases the probability of other authors on the paper being female, pointing to a potential role of female PIs in influencing the gender balance.
format Online
Article
Text
id pubmed-5638210
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-56382102017-11-03 Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology Bonham, Kevin S. Stefan, Melanie I. PLoS Comput Biol Research Article While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quantitative biology. To this end, we examined the proportion of female authors in publications from the PubMed and arXiv databases. There are fewer female authors on research papers in computational biology, as compared to biology in general. This is true across authorship position, year, and journal impact factor. A comparison with arXiv shows that quantitative biology papers have a higher ratio of female authors than computer science papers, placing computational biology in between its two parent fields in terms of gender representation. Both in biology and in computational biology, a female last author increases the probability of other authors on the paper being female, pointing to a potential role of female PIs in influencing the gender balance. Public Library of Science 2017-10-12 /pmc/articles/PMC5638210/ /pubmed/29023441 http://dx.doi.org/10.1371/journal.pcbi.1005134 Text en © 2017 Bonham, Stefan http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bonham, Kevin S.
Stefan, Melanie I.
Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
title Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
title_full Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
title_fullStr Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
title_full_unstemmed Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
title_short Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
title_sort women are underrepresented in computational biology: an analysis of the scholarly literature in biology, computer science and computational biology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638210/
https://www.ncbi.nlm.nih.gov/pubmed/29023441
http://dx.doi.org/10.1371/journal.pcbi.1005134
work_keys_str_mv AT bonhamkevins womenareunderrepresentedincomputationalbiologyananalysisofthescholarlyliteratureinbiologycomputerscienceandcomputationalbiology
AT stefanmelaniei womenareunderrepresentedincomputationalbiologyananalysisofthescholarlyliteratureinbiologycomputerscienceandcomputationalbiology