Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 25,601 publications in 2020, and those with at least 100 occurrences were mapped using VOSviewer. Node size indicates count of occurrences, and node proximity reflects frequency of co-occurrence (nodes close together co-occur more frequently than nodes far apart). In this overlay visualization, the color scale indicates the proportion of publications associated with the mapped terms that were also identified by the sex and gender keyword search: blue nodes indicate terms with relatively low consideration of sex and/or gender; yellow terms indicate terms with relatively high consideration of sex and/or gender.</p
Proportion of SDG publications that include sex and gender keywords, 2015–2020.</p
<p>Female language features are shown on top while males below. Size of the word indicates the stren...
Graduation date: 2018Previous work introduced the GenderMag method, a software inspection method use...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
On the left, five focal papers are illustrated, together with their keywords (ki) and the share of m...
We examine gender bias in media by tallying the number of men and women quoted in news text, using t...
This paper presents a study that analyzes and gives quantitative means for measuring the gender gap ...
Gendered terms in 100 most popular subreddits, as judged by a chi-squared test. Spreadsheets are org...
The approach described here offers a fresh perspective on both the UN SDGs and sex and gender consid...
International audienceWe present an analysis of the representation of gender as a data dimension in ...
The color-highlighted cells correspond to job categories with the statistically significant highest ...
Proportion of SDG publications that include sex and gender keywords, 2015–2020.</p
<p>Female language features are shown on top while males below. Size of the word indicates the stren...
Graduation date: 2018Previous work introduced the GenderMag method, a software inspection method use...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstra...
On the left, five focal papers are illustrated, together with their keywords (ki) and the share of m...
We examine gender bias in media by tallying the number of men and women quoted in news text, using t...
This paper presents a study that analyzes and gives quantitative means for measuring the gender gap ...
Gendered terms in 100 most popular subreddits, as judged by a chi-squared test. Spreadsheets are org...
The approach described here offers a fresh perspective on both the UN SDGs and sex and gender consid...
International audienceWe present an analysis of the representation of gender as a data dimension in ...
The color-highlighted cells correspond to job categories with the statistically significant highest ...
Proportion of SDG publications that include sex and gender keywords, 2015–2020.</p
<p>Female language features are shown on top while males below. Size of the word indicates the stren...
Graduation date: 2018Previous work introduced the GenderMag method, a software inspection method use...