Underrepresentation of Women on Radiology Editorial Boards

J Am Coll Radiol. 2019 Jan;16(1):115-120. doi: 10.1016/j.jacr.2018.08.017. Epub 2018 Oct 16.

Abstract

Purpose: Women in radiology are known to be underrepresented in academic leadership positions. We sought to determine if women are appropriately represented on editorial boards and editor-in-chief positions compared with their authorship contributions.

Materials and methods: We assessed the first and senior authorship male versus female gender breakdown of manuscripts published in nine high-impact American radiology journals 1 month per year from 2002 to 2017. We looked at the gender of the first authors, senior authors, editorial board members, and editors-in-chief of these journals to see if there was a gender discrepancy.

Results: We assessed 3,702 first authors, 3,702 senior authors, and 9,400 editorial board members. Women were underrepresented on the editorial boards compared with their first-authored manuscript contribution in our sample of articles from every journal for every year and were underrepresented compared with their senior-authored manuscript contributions in 119 of 139 (85.6%) journal-years. The percentage of women as first authors (mean = 29.3 ± 9.9), senior authors (mean = 20.7 ± 8.1), and editorial board members (mean = 13.4 ± 6.5) showed major differences (P < .001). This gap did not significantly narrow over the 16 years of study. Notably, there was no woman as editor-in-chief for any of the journal-years.

Conclusion: There is a gender gap in the composition of editorial boards in radiology compared with authorship contributions by women. Given the implications of editorial board assignment and editorship on women's academic advancement, journals may wish to consider strategies that will narrow the gap.

Keywords: Gender equality; authorship; editorial boards; radiology; women.

MeSH terms

  • Female
  • Hierarchy, Social
  • Humans
  • Periodicals as Topic / statistics & numerical data*
  • Physicians, Women / statistics & numerical data*
  • Radiology*
  • Sexism*
  • Women, Working / statistics & numerical data*