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Gender disparity in computational biology research publications

View ORCID ProfileKevin S. Bonham, View ORCID ProfileMelanie I. Stefan
doi: https://doi.org/10.1101/070631
Kevin S. Bonham
Microbiology and Immunobiology, Harvard Medical School. Boston, MA, USA
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Melanie I. Stefan
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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.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 09, 2016.
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Gender disparity in computational biology research publications
Kevin S. Bonham, Melanie I. Stefan
bioRxiv 070631; doi: https://doi.org/10.1101/070631
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Gender disparity in computational biology research publications
Kevin S. Bonham, Melanie I. Stefan
bioRxiv 070631; doi: https://doi.org/10.1101/070631

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