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pmid: 29023441
pmc: PMC5638210
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.
Computer and Information Sciences, Science and Technology Workforce, 330, Science Policy, QH301-705.5, Social Sciences, Careers in Research, Sexual and Gender Issues, Sociology, Journal Article, Humans, Women, Biology (General), Sex Distribution, Biology, Information Science, Scientific Publishing, Career Choice, Publications, Biology and Life Sciences, Social Communication, Computational Biology, Authorship, Professions, Social Networks, Bibliometrics, People and Places, Engineering and Technology, Scientists, Population Groupings, Female, Social Media, Network Analysis, Research Article
Computer and Information Sciences, Science and Technology Workforce, 330, Science Policy, QH301-705.5, Social Sciences, Careers in Research, Sexual and Gender Issues, Sociology, Journal Article, Humans, Women, Biology (General), Sex Distribution, Biology, Information Science, Scientific Publishing, Career Choice, Publications, Biology and Life Sciences, Social Communication, Computational Biology, Authorship, Professions, Social Networks, Bibliometrics, People and Places, Engineering and Technology, Scientists, Population Groupings, Female, Social Media, Network Analysis, Research Article
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 59 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |