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
4713
3662
EU27_2020
3477
2616
BE
136
107
BG
17
10
CZ
100
72
DK
96
62
DE
476
313
EE
37
29
IE
102
56
EL
48
58
ES
624
425
FR
348
314
HR
123
215
IT
311
165
CY
29
7
LV
5
3
LT
21
14
LU
6
4
HU
47
22
MT
2
3
NL
317
257
AT
90
72
PL
187
114
PT
118
60
RO
60
38
SI
56
51
SK
56
20
FI
144
107
SE
277
211
IS
20
5
NO
128
95
CH
116
73
UK
1431
1172
ME
5
1
MK
2
1
AL
9
13
RS
19
23
TR
196
120
BA
10
13
AM
4
1
GE
4
1
IL
209
99
MD
0
0
RU
305
52
UA
16
3
TN
14
13

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