Table 1.
The selected Scopus sex and gender keyword search.
Table 2.
Counts and proportion of SDG publications that include sex and gender keywords in 2020.
Table 3.
Proportion of SDG publications that include sex and gender keywords, 2015–2020.
Fig 1.
SDG 5: Gender equality term network map.
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 network visualization, the colors indicate topical clusters.
Fig 2.
SDG 5: Gender equality term overlay map.
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.
Fig 3.
SDG 3: Good health and well-being term network map.
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 19,983 publications in 2020 (sampled from 417,443 in total), 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 network visualization, the colors indicate topical clusters.
Fig 4.
SDG 3: Good Health and Well-being term overlay map.
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 19,983 publications in 2020 (sampled from 417,443 in total), 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.
Fig 5.
SDG 4: Quality education term network map.
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 20,030 publications in 2020 (sampled from 37,206 in total), 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 network visualization, the colors indicate topical clusters.
Fig 6.
SDG 4: Quality education term overlay map.
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 20,030 publications in 2020 (sampled from 37,206 in total), 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.
Fig 7.
SDG 13: Climate action term map.
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 20,030 publications in 2020 (sampled from 42,699 in total), 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 network visualization, colors indicate topical clusters.
Fig 8.
SDG 13: Climate action term map.
Binary counting (present/absent, not count of occurrences) was applied to terms in titles and abstracts of 20,030 publications in 2020 (sampled from 42,699 in total), 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.