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. 2021 Mar 23;11(3):e037935.
doi: 10.1136/bmjopen-2020-037935.

Gender parity in scientific authorship in a National Institute for Health Research Biomedical Research Centre: a bibliometric analysis

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Gender parity in scientific authorship in a National Institute for Health Research Biomedical Research Centre: a bibliometric analysis

Syed Ghulam Sarwar Shah et al. BMJ Open. .

Abstract

Objective: Scientific authorship is a vital marker of achievement in academic careers and gender equity is a key performance metric in research. However, there is little understanding of gender equity in publications in biomedical research centres funded by the National Institute for Health Research (NIHR). This study assesses the gender parity in scientific authorship of biomedical research.

Design: Descriptive, cross-sectional, retrospective bibliometric study.

Setting: NIHR Oxford Biomedical Research Centre (BRC).

Data: Data comprised 2409 publications that were either accepted or published between April 2012 and March 2017. The publications were classified as basic science studies, clinical studies (both trial and non-trial studies) and other studies (comments, editorials, systematic reviews, reviews, opinions, book chapters, meeting reports, guidelines and protocols).

Main outcome measures: Gender of authors, defined as a binary variable comprising either male or female categories, in six authorship categories: first author, joint first authors, first corresponding author, joint corresponding authors, last author and joint last authors.

Results: Publications comprised 39% clinical research (n=939), 27% basic research (n=643) and 34% other types of research (n=827). The proportion of female authors as first author (41%), first corresponding authors (34%) and last author (23%) was statistically significantly lower than male authors in these authorship categories (p<0.001). Of total joint first authors (n=458), joint corresponding authors (n=169) and joint last authors (n=229), female only authors comprised statistically significant (p<0.001) smaller proportions, that is, 15% (n=69), 29% (n=49) and 10% (n=23) respectively, compared with male only authors in these joint authorship categories. There was a statistically significant association between gender of the last author with gender of the first author (p<0.001), first corresponding author (p<0.001) and joint last author (p<0.001). The mean journal impact factor (JIF) was statistically significantly higher when the first corresponding author was male compared with female (Mean JIF: 10.00 vs 8.77, p=0.020); however, the JIF was not statistically different when there were male and female authors as first authors and last authors.

Conclusions: Although the proportion of female authors is significantly lower than the proportion of male authors in all six categories of authorship analysed, the proportions of male and female last authors are comparable to their respective proportions as principal investigators in the BRC. These findings suggest positive trends and the NIHR Oxford BRC doing very well in gender parity in the senior (last) authorship category. Male corresponding authors are more likely to publish articles in prestigious journals with high impact factor while both male and female authors at first and last authorship positions publish articles in equally prestigious journals.

Keywords: change management; education & training (see medical education & training); health policy; natural science disciplines; organisational development; statistics & research methods.

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Conflict of interest statement

Competing interests: VK is Chief Operating Officer and LRH is Clinical Research Manager at the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC). AMB is a senior medical science advisor and co-founder of Brainomix, a company that develops electronic ASPECTS (e-ASPECTS), an automated method to evaluate ASPECTS in stroke patients. MJM, LDE and PVO were funded by STARBIOS2 and the NIHR Oxford BRC. PVO is a member of the NIHR Advisory Group on Equality, Diversity, and Inclusion, a member of the European Association of Science Editors Gender Policy Committee, and a member of the Athena SWAN Self-Assessment Team of the Radcliffe Department of Medicine, University of Oxford.

Figures

Figure 1
Figure 1
Publication analysis workflow. The workflow shows the process of extracting data according to gender from six types of authorship.
Figure 2
Figure 2
Yearly trends in scientific authorship by gender (male and female), April 2012–March 2017. This plot represents the yearly variation of the proportion of male and female authors according to six types of authorship between the years of publication/acceptance from 2012 to 2017.
Figure 3
Figure 3
Authorship type by gender and impact factor of journals. This figure shows the boxplots of impact factors of journals in which male and female authors published articles.

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