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Facial recognition technology can expose political orientation from naturalistic facial images

Overview of attention for article published in Scientific Reports, January 2021
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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 (#47 of 148,036)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
53 news outlets
book_reviews
1 book reviewer
blogs
10 blogs
policy
1 policy source
twitter
2432 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
reddit
17 Redditors

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
174 Mendeley
Title
Facial recognition technology can expose political orientation from naturalistic facial images
Published in
Scientific Reports, January 2021
DOI 10.1038/s41598-020-79310-1
Pubmed ID
Authors

Michal Kosinski

Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 2,432 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 174 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 16%
Researcher 27 16%
Student > Bachelor 18 10%
Student > Master 17 10%
Professor > Associate Professor 9 5%
Other 26 15%
Unknown 50 29%
Readers by discipline Count As %
Computer Science 25 14%
Psychology 22 13%
Social Sciences 18 10%
Business, Management and Accounting 10 6%
Engineering 9 5%
Other 32 18%
Unknown 58 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2406. 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 23 September 2024.
All research outputs
#3,520
of 26,784,510 outputs
Outputs from Scientific Reports
#47
of 148,036 outputs
Outputs of similar age
#193
of 537,915 outputs
Outputs of similar age from Scientific Reports
#6
of 4,526 outputs
Altmetric has tracked 26,784,510 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 148,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 99% 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 537,915 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 4,526 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 99% of its contemporaries.