Evidence map›Paper›PMID 31312468›Full record

ArticleRoyal Society open science2019

Unravelling the gender productivity gap in science: a meta-analytical review.

Julia Astegiano, Esther Sebastián-González, Camila de Toledo Castanho

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 134 citations in OpenAlex.

  1. Exploring Gender Bias in Six Key Domains of Academic Science: An Adversarial Collaboration.Psychological science in the public interest : a journal of the American Psychological Society · 2023
    Pooled it
  2. Article
  3. Gender Differences in National Institutes of Health Funding for Family Medicine Faculty.Journal of the American Board of Family Medicine : JABFM · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Editorial: Women in CNS drug delivery: 2022-2024.Frontiers in drug delivery · 2024
    Article
  18. Ten simple rules for a mom-friendly Academia.PLoS computational biology · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Julia AstegianoDepartamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, Rua do Matão 321, trav14, 05508-090 São Paulo, Brazil.ORCID 0000-0003-0583-7291
Esther Sebastián-GonzálezDepartamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, Rua do Matão 321, trav14, 05508-090 São Paulo, Brazil.ORCID 0000-0001-7229-1845
Camila de Toledo CastanhoDepartamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, Rua do Matão 321, trav14, 05508-090 São Paulo, Brazil.ORCID 0000-0002-0198-3200
Consejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidade de São Paulo · BRUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women underrepresentation in science has frequently been associated with women being less productive than men (i.e. the gender productivity gap), which may be explained by women having lower success rates, producing science of lower impact and/or suffering gender bias. By performing global meta-analyses, we show that there is a gender productivity gap mostly supported by a larger scientific production ascribed to men. However, women and men show similar success rates when the researchers' work is directly evaluated (i.e. publishing articles). Men's success rate is higher only in productivity proxies involving peer recognition (e.g. evaluation committees, academic positions). Men's articles showed a tendency to have higher global impact but only if studies include self-citations. We detected gender bias against women in research fields where women are underrepresented (i.e. those different from Psychology). Historical numerical unbalance, socio-psychological aspects and cultural factors may influence differences in success rate, science impact and gender bias. Thus, the maintenance of a women-unfriendly academic and non-academic environment may perpetuate the gender productivity gap. New policies to build a more egalitarian and heterogeneous scientific community and society are needed to close the gender gap in science.

Indexed as

gender biasH-indexscience impactsuccess ratewomen in sciencewomen underrepresentation

Identifiers

PMID31312468
PMCPMC6599789
OpenAlexW2949934363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.