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Observational Study
. 2021 Apr 12;23(4):e25379.
doi: 10.2196/25379.

Gender Disparity in the Authorship of Biomedical Research Publications During the COVID-19 Pandemic: Retrospective Observational Study

Affiliations
Observational Study

Gender Disparity in the Authorship of Biomedical Research Publications During the COVID-19 Pandemic: Retrospective Observational Study

Goran Muric et al. J Med Internet Res..

Abstract

Background: Gender imbalances in academia have been evident historically and persist today. For the past 60 years, we have witnessed the increase of participation of women in biomedical disciplines, showing that the gender gap is shrinking. However, preliminary evidence suggests that women, including female researchers, are disproportionately affected by the COVID-19 pandemic in terms of unequal distribution of childcare, elderly care, and other kinds of domestic and emotional labor. Sudden lockdowns and abrupt shifts in daily routines have had disproportionate consequences on their productivity, which is reflected by a sudden drop in research output in biomedical research, consequently affecting the number of female authors of scientific publications.

Objective: The objective of this study is to test the hypothesis that the COVID-19 pandemic has had a disproportionate adverse effect on the productivity of female researchers in the biomedical field in terms of authorship of scientific publications.

Methods: This is a retrospective observational bibliometric study. We investigated the proportion of male and female researchers who published scientific papers during the COVID-19 pandemic, using bibliometric data from biomedical preprint servers and selected Springer-Nature journals. We used the ordinary least squares regression model to estimate the expected proportions over time by correcting for temporal trends. We also used a set of statistical methods, such as the Kolmogorov-Smirnov test and regression discontinuity design, to test the validity of the results.

Results: A total of 78,950 papers from the bioRxiv and medRxiv repositories and from 62 selected Springer-Nature journals by 346,354 unique authors were analyzed. The acquired data set consisted of papers that were published between January 1, 2019, and August 2, 2020. The proportion of female first authors publishing in the biomedical field during the pandemic dropped by 9.1%, on average, across disciplines (expected arithmetic mean yest=0.39; observed arithmetic mean y=0.35; standard error of the estimate, Sest=0.007; standard error of the observation, σx=0.004). The impact was particularly pronounced for papers related to COVID-19 research, where the proportion of female scientists in the first author position dropped by 28% (yest=0.39; y=0.28; Sest=0.007; σx=0.007). When looking at the last authors, the proportion of women dropped by 7.9%, on average (yest=0.25; y=0.23; Sest=0.005; σx=0.003), while the proportion of women writing about COVID-19 as the last author decreased by 18.8% (yest=0.25; y=0.21; Sest=0.005; σx=0.007). Further, by geocoding authors' affiliations, we showed that the gender disparities became even more apparent when disaggregated by country, up to 35% in some cases.

Conclusions: Our findings document a decrease in the number of publications by female authors in the biomedical field during the global pandemic. This effect was particularly pronounced for papers related to COVID-19, indicating that women are producing fewer publications related to COVID-19 research. This sudden increase in the gender gap was persistent across the 10 countries with the highest number of researchers. These results should be used to inform the scientific community of this worrying trend in COVID-19 research and the disproportionate effect that the pandemic has had on female academics.

Keywords: COVID-19; gender disparities; research evaluation; science of science.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Statistical model. Schematic illustration of the ordinary least squares model used to calculate the expected numbers and proportions. d: difference; fexp: expected proportion; fobs: observed proportion.
Figure 2
Figure 2
Comparison of the expected and observed proportions of female authors that published during the COVID-19 pandemic. Green bars represent the expected proportion of female authors, estimated by the ordinary least squares model from the historical data from 2019. Orange bars represent the observed proportion of female authors that published during the COVID-19 pandemic. The standard errors of the aggregate analyses are represented as the vertical lines on top of the bars. The papers are divided by topic into three groups: (1) all papers from the data set, (2) papers that deal directly with COVID-19 and related topics, and (3) papers that are not about COVID-19 or related topics. The first row shows the results from all publishers combined. The following rows represent the results for each publisher separately.
Figure 3
Figure 3
Percentage drop in proportion of female authors during the pandemic across countries. Orange points mark the percentage decrease in proportion of female authors; green points mark the increase. Horizontal lines represent standard errors. The analysis is divided by topic into three groups: (1) all papers from the data set, (2) papers that deal directly with COVID-19 and related topics, and (3) papers that are not about COVID-19 or related topics. Missing points indicate insufficient sample size.
Figure 4
Figure 4
Gender disparity in research and gross domestic product (GDP). The proportion of women active in research is higher in countries with lower per capita GDP (upper). The proportion of female authors of research articles decreased more than expected in countries with lower per capita GDP (lower).

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