The indicator shows the absolute number of a country’s publications that have a gender dimension in their research content. A research is classified as having gender related content if:
The data refer to the five-year period ending in the reference year shown (e.g., the period represented by reference year 2022 is the five-year period 2018-2022).
A query-based approach was used to identify the body of research that addresses the ‘gender dimension.’ The term ‘gender dimension’ was developed within the European Commission and means integrating sex and/or gender analysis into research. According to Gendered Innovations (European Commission, 2013b), ‘sex’ refers to the basic biological
characteristics of females and males and ‘gender’ refers to cultural attitudes and behaviours that shape ‘feminine’ and ‘masculine’ behaviours, products, technologies, environments and knowledge.
The data is collected from the She Figures publications. These publications investigate the level of progress made towards gender equality in research & innovation (R&I) in Europe. It is the main source of pan-European, comparable statistics on the representation of women and men amongst PhD graduates, researchers and academic decision‑makers.
The indicator is computed by Elsevier using the Scopus™ abstract and citation database. Scopus™ is a source-neutral abstract and citation database curated by independent subject matter experts. It indexes over 25,100 titles from more than 5,000 international publishers in the fields of science, technology, medicine, social science, and arts and humanities. The required bibliographic information for calculating the indicators is structurally available in Scopus™: authors, institutional affiliations with addresses, fields of science, and citations.
Available flags:
| b | break in time series | c | confidential |
| d | definition differs, see metadata | e | estimated |
| f | forecast | i | see metadata |
| m | imputed | n | not significant |
| p | provisional | r | revised |
| s | Eurostat estimate | u | low reliability |
| x | dropped due to insufficient sample size | y | unreliable due to small sample size |
| z | not applicable |