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Analysing global professional gender gaps using LinkedIn advertising data

Overview of attention for article published in EPJ Data Science, July 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
32 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
98 Mendeley
Title
Analysing global professional gender gaps using LinkedIn advertising data
Published in
EPJ Data Science, July 2021
DOI 10.1140/epjds/s13688-021-00294-7
Authors

Ridhi Kashyap, Florianne C. J. Verkroost

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 11%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 6 6%
Professor 6 6%
Student > Bachelor 6 6%
Other 23 23%
Unknown 38 39%
Readers by discipline Count As %
Social Sciences 17 17%
Business, Management and Accounting 9 9%
Computer Science 5 5%
Economics, Econometrics and Finance 4 4%
Psychology 4 4%
Other 14 14%
Unknown 45 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 07 March 2022.
All research outputs
#1,960,216
of 25,800,372 outputs
Outputs from EPJ Data Science
#167
of 460 outputs
Outputs of similar age
#45,998
of 443,687 outputs
Outputs of similar age from EPJ Data Science
#2
of 15 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.4. This one has gotten more attention than average, scoring higher than 63% 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 443,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.