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女性在计算生物学领域的代表性不足:对生物学、计算机科学和计算生物学学术文献的分析。

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

作者信息

Bonham Kevin S, Stefan Melanie I

机构信息

Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, United States of America.

Centre for Integrative Physiology, Edinburgh Medical School, Biomedical Sciences, University of Edinburgh, Edinburgh, United Kingdom.

出版信息

PLoS Comput Biol. 2017 Oct 12;13(10):e1005134. doi: 10.1371/journal.pcbi.1005134. eCollection 2017 Oct.

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.

摘要

虽然女性在科学、技术、工程和数学(STEM)领域的代表性普遍不足,但不同领域之间存在显著差异。例如,生物学中的性别比例比计算机科学更为平衡。我们感兴趣的是,这种差异如何在计算/定量生物学的跨学科领域中体现出来。为此,我们研究了来自PubMed和arXiv数据库的出版物中女性作者的比例。与一般生物学相比,计算生物学研究论文的女性作者较少。在作者排名、年份和期刊影响因子方面都是如此。与arXiv的比较表明,定量生物学论文的女性作者比例高于计算机科学论文,就性别代表性而言,计算生物学处于其两个母领域之间。在生物学和计算生物学中,女性作为最后一位作者都会增加论文中其他作者为女性的可能性,这表明女性首席研究员在影响性别平衡方面可能发挥作用。

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