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Measuring Corporate Culture Using Machine Learning

Overview of attention for article published in Review of Financial Studies, July 2020
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

policy
3 policy sources
twitter
4 X users
q&a
1 Q&A thread
bluesky
1 Bluesky user

Readers on

mendeley
863 Mendeley
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Article details
Title
Measuring Corporate Culture Using Machine Learning
Published in
Review of Financial Studies, July 2020
DOI 10.1093/rfs/hhaa079
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 863 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 863 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 122 14%
Student > Master 51 6%
Student > Doctoral Student 43 5%
Lecturer 42 5%
Researcher 33 4%
Other 107 12%
Unknown 465 54%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 189 22%
Economics, Econometrics and Finance 121 14%
Computer Science 18 2%
Social Sciences 18 2%
Engineering 10 1%
Other 29 3%
Unknown 478 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 June 2026.
All research outputs
#3,225,175
of 34,601,305 outputs
Outputs from Review of Financial Studies
#448
of 2,249 outputs
Outputs of similar age
#64,342
of 459,232 outputs
Outputs of similar age from Review of Financial Studies
#9
of 28 outputs
Altmetric has tracked 34,601,305 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 80% 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 459,232 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 85% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.