93
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The gender gap in science: How long until women are equally represented?

      research-article
      * , ,
      PLoS Biology
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Women comprise a minority of the Science, Technology, Engineering, Mathematics, and Medicine (STEMM) workforce. Quantifying the gender gap may identify fields that will not reach parity without intervention, reveal underappreciated biases, and inform benchmarks for gender balance among conference speakers, editors, and hiring committees. Using the PubMed and arXiv databases, we estimated the gender of 36 million authors from >100 countries publishing in >6000 journals, covering most STEMM disciplines over the last 15 years, and made a web app allowing easy access to the data ( https://lukeholman.github.io/genderGap/). Despite recent progress, the gender gap appears likely to persist for generations, particularly in surgery, computer science, physics, and maths. The gap is especially large in authorship positions associated with seniority, and prestigious journals have fewer women authors. Additionally, we estimate that men are invited by journals to submit papers at approximately double the rate of women. Wealthy countries, notably Japan, Germany, and Switzerland, had fewer women authors than poorer ones. We conclude that the STEMM gender gap will not close without further reforms in education, mentoring, and academic publishing.

          Author summary

          In most fields of science, medicine, and technology research, men comprise more than half of the workforce, particularly at senior levels. Most previous work has concluded that the gender gap is smaller today than it was in the past, giving the impression that there will soon be equal numbers of men and women researchers and that current initiatives to recruit and retain more women are working adequately. Here, we used computational methods to determine the numbers of men and women authors listed on >10 million academic papers published since 2002, allowing us to precisely estimate the gender gap among researchers, as well as its rate of change, for most disciplines of science and medicine. We conclude that many research specialties (e.g., surgery, computer science, physics, and maths) will not reach gender parity this century, given present-day rates of increase in the number of women authors. Additionally, the gender gap varies greatly across countries, with Japan, Germany, and Switzerland having strikingly few women authors. Women were less often commissioned to write ‘invited’ papers, consistent with gender bias by journal editors, and were less often found in authorship positions usually associated with seniority (i.e., the last-listed or sole author). Our results support a need for further reforms to close the gender gap.

          Related collections

          Most cited references22

          • Record: found
          • Abstract: not found
          • Article: not found

          The history and meaning of the journal impact factor.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Gender stereotypes about intellectual ability emerge early and influence children's interests.

            Common stereotypes associate high-level intellectual ability (brilliance, genius, etc.) with men more than women. These stereotypes discourage women's pursuit of many prestigious careers; that is, women are underrepresented in fields whose members cherish brilliance (such as physics and philosophy). Here we show that these stereotypes are endorsed by, and influence the interests of, children as young as 6. Specifically, 6-year-old girls are less likely than boys to believe that members of their gender are "really, really smart." Also at age 6, girls begin to avoid activities said to be for children who are "really, really smart." These findings suggest that gendered notions of brilliance are acquired early and have an immediate effect on children's interests.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Constraints into Preferences: Gender, Status, and Emerging Career Aspirations

              S. Correll (2004)
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                19 April 2018
                April 2018
                19 April 2018
                : 16
                : 4
                : e2004956
                Affiliations
                [001]School of BioSciences, University of Melbourne, Parkville, Victoria, Australia
                Indiana University Bloomington, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-7268-2173
                Article
                pbio.2004956
                10.1371/journal.pbio.2004956
                5908072
                29672508
                5f8c62f8-4eaf-421b-aef3-d6d6312b7e48
                © 2018 Holman et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 November 2017
                : 14 March 2018
                Page count
                Figures: 4, Tables: 0, Pages: 20
                Funding
                School of BioSciences, University of Melbourne. Start-up funds provided to Luke Holman. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Meta-Research Article
                Social Sciences
                Economics
                Labor Economics
                Employment
                Careers
                Research and Analysis Methods
                Research Assessment
                Bibliometrics
                Science Policy
                Open Science
                Open Access Publishing
                Research and Analysis Methods
                Scientific Publishing
                Publication Practices
                Open Access Publishing
                Research and Analysis Methods
                Scientific Publishing
                Computer and Information Sciences
                Social Sciences
                Sociology
                Sexual and Gender Issues
                Engineering and Technology
                Research and Analysis Methods
                Research Assessment
                Peer Review
                Custom metadata
                R code used to collect and analyse the data, as well as a compact summary of our dataset, is archived at https://github.com/lukeholman/genderGapCode. A web app allowing exploration of the data can be found at https://lukeholman.github.io/genderGap/. The complete dataset is archived at the Open Science Framework ( https://osf.io/bt9ya/). Data used to validate the gender assignment method (and which are thus not primary data for this study) were obtained from a third party; these data are currently in preparation for publication and will be publicly available after that time.

                Life sciences
                Life sciences

                Comments

                Comment on this article