The document reports on a study that mapped the gender distribution of authors in medical research on different diseases. It analyzed over 1.5 million medical research papers categorized by disease terms. It found that research into diseases related directly to the female body or that take more "soft" approaches tends to have a higher proportion of female authors. The study aims to further examine variation in gender patterns within medical specialties and countries and how gender diversity may impact funding and research outcomes.
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Mapping the author gender distribution of disease-specific medical research
1. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
MAPPING THE AUTHOR GENDER-DISTRIBUTION OF
DISEASE-SPECIFIC MEDICAL RESEARCH
Jens Peter Andersen, Jesper Wiborg Schneider & Mathias
Wullum Nielsen
Danish Centre for Studies on Research and Research Policy,
Aarhus University & History Department, Stanford University
2. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
Call for Diversity: Underrepresentation of women in biomedical research (PNAS)
NIH, EU, LERU: Diversity => enhance knowledge outcomes
Is there a ghettoisation of female-dominated health research?
Underrepresentation of female patients in clinical evidence base, e.g. for cardiovascular
health
PREMISE
3. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
xkcd.com/385/
4. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
Gender shapes cognition, experience and perspective.
Gender diversity => conglomeration of worldviews, orientations and interests that women,
men and other genders bring into the scientific enterprise
BRIEF PRIMER ON GENDER
5. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
PubMed Medline records matched to Web of Science
PubMed: Medical subject headings (MeSH) => disease categorisation
MATERIAL
6. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
All MeSH Categories
Diseases Category
Animal Diseases
Abortion, Veterinary +
Actinobacillosis
Bacterial Infections and Mycoses
Bacterial Infections +
Central Nervous System Infections +
Cardiovascular Diseases
Cardiovascular Abnormalities +
Cardiovascular Infections +
Heart Diseases +
MESH
7. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
DATA
All documents
(2008-2015)
n = 2,512,37
n = 2,124,498 n = 1,754,188
Docs matched to
Wos, gender
determined for all
authors
n = 1,542,050
Gender not
determined for
1+ author(s)
n = 212,138
Group authors,
first name
length = 1
n = 370,310
Unable to
match to
WoS
n = 387,873
8. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
DETERMING GENDER
KIM?
KIM
Denmark
2% 98%
South Korea
68% 32%
USA
68% 32%
9. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
Each author of a paper is assigned a probability of being female, f, extracted from gender-
api.com
Each paper is assigned a weighted probability, fw = sum(f)/n
Other options: binary f, f(first author), f(last author)
GENDER INDICATOR
10. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
N mesh disease terms = 4,709
fw for all mesh = 0.35 (~ Gaussian)
OVERALL FINDINGS
15. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
GENDER PER DISEASE
16. DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
POSTDOCTORAL RESEARCHER 15 SEPTEMBER 2016
JENS PETER ANDERSEN
2
SCIENCE & TECHNOLOGY
INDICATORS CONFERENCE 2016
DISCUSSION
Female-dominated research:
Female body-specific diseases
softer approaches, communication
Further research:
Variation in and among medical specialties
Accounting for country
Connection between funding for diseases and gender diversity
Impact
17. 2
DANISH CENTRE FOR STUDIES IN
RESEARCH AND RESEARCH POLICY
DEPARTMENT OF POLITICAL SCIENCE
AARHUS UNIVERSITY
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