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10.7554/eLife.58807

http://scihub22266oqcxt.onion/10.7554/eLife.58807
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32538780!7304994!32538780
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suck abstract from ncbi


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pmid32538780      Elife 2020 ; 9 (ä): ä
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  • COVID-19 medical papers have fewer women first authors than expected #MMPMID32538780
  • Andersen JP; Nielsen MW; Simone NL; Lewiss RE; Jagsi R
  • Elife 2020[Jun]; 9 (ä): ä PMID32538780show ga
  • The COVID-19 pandemic has resulted in school closures and distancing requirements that have disrupted both work and family life for many. Concerns exist that these disruptions caused by the pandemic may not have influenced men and women researchers equally. Many medical journals have published papers on the pandemic, which were generated by researchers facing the challenges of these disruptions. Here we report the results of an analysis that compared the gender distribution of authors on 1893 medical papers related to the pandemic with that on papers published in the same journals in 2019, for papers with first authors and last authors from the United States. Using mixed-effects regression models, we estimated that the proportion of COVID-19 papers with a woman first author was 19% lower than that for papers published in the same journals in 2019, while our comparisons for last authors and overall proportion of women authors per paper were inconclusive. A closer examination suggested that women's representation as first authors of COVID-19 research was particularly low for papers published in March and April 2020. Our findings are consistent with the idea that the research productivity of women, especially early-career women, has been affected more than the research productivity of men.
  • |*Authorship[MESH]
  • |*Bibliometrics[MESH]
  • |*Coronavirus Infections[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral[MESH]
  • |*Women[MESH]
  • |COVID-19[MESH]
  • |Efficiency[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Medicine[MESH]
  • |Periodicals as Topic/statistics & numerical data[MESH]
  • |Physicians, Women/statistics & numerical data[MESH]
  • |Research Personnel/*statistics & numerical data[MESH]
  • |Sex Factors[MESH]
  • |Social Isolation[MESH]


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