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  • Item type:Publication,
    Gender differences in the aims and impacts of research Open PDF 
    (2021)
    Zhang, L.
    ;
    Sivertsen, G.
    ;
    Du, H.
    ;
    Huang, Y.
    ;
    Glänzel, W.
    This study uses mixed methods—classical citation analysis, altmetric analysis, a survey with researchers as respondents, and text analysis of the abstracts of scientific articles—to investigate gender differences in the aims and impacts of research. We find that male researchers more often value and engage in research mainly aimed at scientific progress, which is more cited. Female researchers more often value and engage in research mainly aimed at contributing to societal progress, which has more abstract views (usage). The gender differences are observed among researchers who work in the same field of research and have the same age and academic position. Our findings have implications for evaluation and funding policies and practices. A critical discussion of how societal engagement versus citation impact is valued, and how funding criteria reflect gender differences, is warranted. © 2021, Akadémiai Kiadó, Budapest, Hungary.
  • Item type:Publication,
    Digital technology helps remove gender bias in academia Open PDF 
    (2021)
    Fortin, J.
    ;
    Bartlett, B.
    ;
    Kantar, M.
    ;
    Tseng, M.
    ;
    Mehrabi, Z.
    Science attempts to be a meritocracy; however, in recent years, there has been increasing evidence for systematic gender bias against women. This bias is present in many metrics commonly used to evaluate scientific productivity, which in turn influences hiring and career success. Here we explore a new metric, the Altmetric Attention Score, and find no evidence of bias across many major journals (Nature, PNAS, PLOS One, New England Journal of Medicine, Cell, and BioRxiv), with equal attention afforded to articles authored by men and women alike. The exception to this rule is the journal Science, which has marked gender bias against women in 2018, equivalent to a mean of 88 more tweets or 11 more news articles and a median of 20 more tweets or 3 more news articles for male than female first authors. Our findings qualify Altmetric, for many types and disciplines of journals, as a potentially unbiased measure of science communication in academia and suggest that new technologies, such as those on which Altmetric is based, might help to democratize academic evaluation. © 2021, Akadémiai Kiadó, Budapest, Hungary.