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Women through the glass ceiling: gender asymmetries in Wikipedia

Overview of attention for article published in EPJ Data Science, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 447)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
twitter
93 X users
facebook
5 Facebook pages
wikipedia
7 Wikipedia pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
112 Mendeley
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Title
Women through the glass ceiling: gender asymmetries in Wikipedia
Published in
EPJ Data Science, March 2016
DOI 10.1140/epjds/s13688-016-0066-4
Authors

Claudia Wagner, Eduardo Graells-Garrido, David Garcia, Filippo Menczer

X Demographics

X Demographics

The data shown below were collected from the profiles of 93 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 18%
Student > Master 19 17%
Researcher 14 13%
Student > Bachelor 8 7%
Professor > Associate Professor 7 6%
Other 18 16%
Unknown 26 23%
Readers by discipline Count As %
Social Sciences 31 28%
Computer Science 23 21%
Physics and Astronomy 6 5%
Psychology 6 5%
Arts and Humanities 5 4%
Other 13 12%
Unknown 28 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 164. 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 20 September 2022.
All research outputs
#249,839
of 25,525,181 outputs
Outputs from EPJ Data Science
#14
of 447 outputs
Outputs of similar age
#4,406
of 312,897 outputs
Outputs of similar age from EPJ Data Science
#1
of 13 outputs
Altmetric has tracked 25,525,181 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 447 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. 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 312,897 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 98% of its contemporaries.
We're also able to compare this research output to 13 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.