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Discipline: search.filters.discipline.Political ScienceSubject: search.filters.subject.Bibliometrics

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  • Item type:Publication,
    Alternative metrics, traditional problems? Assessing gender dynamics in the altmetrics of political science Open PDF 
    (2023)
    Meibauer, G.
    ;
    Phull, K.
    ;
    Alejandro, A.
    ;
    Ciflikli, G.
    Altmetrics are an emerging form of bibliometric measurement that capture the online dimension of scholarly exchange. Against the backdrop of both a higher education landscape increasingly focused on quantifying research productivity and impact, as well as literature emphasising the need to address gender bias in the discipline, we consider whether and how altmetrics (re)produce gendered dynamics in political science. Using a novel dataset on the Altmetric Attention Scores (AAS) of political science research, we investigate two questions: Do AAS vary by gender? And how do AAS relate to gendered social media dynamics? We find that AAS reproduce gendered dynamics found in disciplinary publication and citation practices. For example, journal articles authored exclusively by female scholars score 27% lower on average than exclusively male-authored outputs. However, men are also more likely to write articles with an AAS of zero. These patterns are shaped by the presence of high-scoring male “superstars” whose research attracts much online attention. Complementing existing scholarship, we show that the AAS closely overlaps with virality dynamics on Twitter. We suggest that these gendered dynamics may be hidden behind the seemingly neutral, technical character of altmetrics, which is worrisome where they are used to evaluate scholarship. © 2023, European Consortium for Political Research.
  • Item type:Publication,
    Are Papers Written by Women Authors Cited Less Frequently? Open PDF 
    (2018)
    Esarey, J.
    ;
    Bryant, K.
    Dion, Sumner, and Mitchell (2018) find that a published article is more likely to cite at least one female-Authored paper if that article is itself authored by women. To complement their work, we study the number of times that an article in their data set is cited given that it has at least one female author. We find that articles with at least one female author are cited no more or less often than male-Authored articles once we control for the publishing journal and the number of authors. The importance of controlling for author count in our model suggests that spurious correlation and/or self-citation might explain at least some of the gender differences found by Dion, Sumner, and Mitchell (2018). Copyright © The Author(s) 2018. Published by Cambridge University Press on behalf of the Society for Political Methodology.Â.