Number of a country’s publications with a gender dimension in their research and innovation content, by field of R&D and in total ta_resdig_sctech_pub_genddim__sf_pub_gend_abs

Time format:
5 year periods
Unit:
Number of publications
Description:

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:

  • It addresses gender issues
  • It addresses women and female issues
  • It addresses men and male issues
  • It reflects, in some way, a consideration of both sexes as a proxy for gender dimension.

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 2018 She Figures publication. This publication investigates 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.

EU28
EU27_2020
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
IS
NO
CH
UK
ME
MK
AL
RS
TR
BA
AM
GE
IL
MD
RU
UA
TN
2015-2019
2010-2014
EU28
19680
17237
EU27_2020
17042
14640
BE
831
653
BG
144
104
CZ
814
558
DK
879
725
DE
3522
2978
EE
110
80
IE
282
218
EL
469
414
ES
2207
1848
FR
2258
2139
HR
176
145
IT
2232
1866
CY
85
30
LV
30
25
LT
113
60
LU
28
15
HU
324
256
MT
25
16
NL
1556
1351
AT
735
589
PL
1453
1032
PT
612
412
RO
351
183
SI
152
133
SK
242
154
FI
705
776
SE
1530
1379
IS
72
86
NO
693
646
CH
1153
904
UK
4373
3968
ME
19
9
MK
11
14
AL
15
5
RS
198
161
TR
1279
1192
BA
26
15
AM
10
6
GE
36
12
IL
438
362
MD
6
1
RU
1351
614
UA
133
77
TN
157
145

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