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  1. Research Culture: Changing how we evaluate research is difficult, but not impossible

    Anna Hatch, Stephen Curry
    The DORA initiative offers practical guidance on improving the assessment of research by universities, research institutions, and funders.
  2. Meta-Research: A 10-year follow-up study of sex inclusion in the biological sciences

    Nicole C Woitowich et al.
    Sex-inclusive research practices have increased in many biological disciplines over the past decade, yet critical sex-based analyses and reporting have remained stagnant in most of these disciplines.
    1. Computational and Systems Biology

    Meta-Research: Use of the Journal Impact Factor in academic review, promotion, and tenure evaluations

    Erin C McKiernan et al.
    Almost a quarter of faculty evaluation documents from US and Canadian universities mention Journal Impact Factor and often imply that it measures research quality.
    1. Computational and Systems Biology

    Research: Bias in the reporting of sex and age in biomedical research on mouse models

    Oscar Flórez-Vargas et al.
    A text-mining study suggests that about half of the papers reporting the results of experiments on mice do not report the sex and age of the mice.
  3. Meta-Research: Reader engagement with medical content on Wikipedia

    Lauren A Maggio et al.
    Readers of health and medicine Wikipedia pages are more likely to hover over and view footnotes than other readers, but less likely to view the hyperlinked sources in these footnotes.
    1. Medicine

    Meta-Research: COVID-19 medical papers have fewer women first authors than expected

    Jens Peter Andersen et al.
    Lockdowns in the United States caused by the COVID-19 pandemic appear related to a decrease in the number of women publishing research papers, especially as first authors.
    1. Computational and Systems Biology

    Meta-Research: International authorship and collaboration across bioRxiv preprints

    Richard J Abdill et al.
    An analysis of 67,885 preprints on bioRxiv finds evidence for disparities in international participation that are similar to the disparities found in conventional journals.
  4. Meta-Research: Tracking the popularity and outcomes of all bioRxiv preprints

    Richard J Abdill, Ran Blekhman
    Data are reported for the monthly number of uploads to and downloads from bioRxiv, and for the number of preprints that are later published in peer-reviewed journals.
  5. Meta-Research: Gender variations in citation distributions in medicine are very small and due to self-citation and journal prestige

    Jens Peter Andersen et al.
    In studies of gender disparities in academia, increased focus is required on within-group variability and between-group overlap of distributions when interpreting and reporting results.