↓ Skip to main content

Gender stereotypes can explain the gender-equality paradox

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, November 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
6 news outlets
blogs
3 blogs
policy
5 policy sources
twitter
222 X users
wikipedia
9 Wikipedia pages
reddit
5 Redditors
video
1 YouTube creator

Readers on

mendeley
334 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gender stereotypes can explain the gender-equality paradox
Published in
Proceedings of the National Academy of Sciences of the United States of America, November 2020
DOI 10.1073/pnas.2008704117
Pubmed ID
Authors

Thomas Breda, Elyès Jouini, Clotilde Napp, Georgia Thebault

X Demographics

X Demographics

The data shown below were collected from the profiles of 222 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 334 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 10%
Student > Master 26 8%
Researcher 25 7%
Student > Bachelor 24 7%
Lecturer 11 3%
Other 49 15%
Unknown 164 49%
Readers by discipline Count As %
Social Sciences 50 15%
Psychology 38 11%
Economics, Econometrics and Finance 10 3%
Unspecified 9 3%
Business, Management and Accounting 8 2%
Other 47 14%
Unknown 172 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 243. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2024.
All research outputs
#156,996
of 25,793,330 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,102
of 103,760 outputs
Outputs of similar age
#4,468
of 528,881 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#75
of 1,020 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 528,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,020 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.