Publication: Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology
Open/View Files
Date
2017
Authors
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Bonham, Kevin S., and Melanie I. Stefan. 2017. “Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology.” PLoS Computational Biology 13 (10): e1005134. doi:10.1371/journal.pcbi.1005134. http://dx.doi.org/10.1371/journal.pcbi.1005134.
Research Data
Abstract
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.
Description
Other Available Sources
Keywords
Biology and Life Sciences, Computational Biology, Computer and Information Sciences, Bibliometrics, Scientific Publishing, Engineering and Technology, Science Policy, Science and Technology Workforce, Careers in Research, Scientists, People and Places, Population Groupings, Professions, Social Sciences, Sociology, Sexual and Gender Issues, Social Communication, Social Media, Network Analysis, Social Networks
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service