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PNAS

Computer-based personality judgments are more accurate than those made by humans

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2015
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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 (99th percentile)

Citations

dimensions_citation
761 Dimensions

Readers on

mendeley
1881 Mendeley
citeulike
3 CiteULike
Title
Computer-based personality judgments are more accurate than those made by humans
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2015
DOI 10.1073/pnas.1418680112
Pubmed ID
Authors

Wu Youyou, Michal Kosinski, David Stillwell

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,225 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 1,881 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 1%
United Kingdom 15 <1%
Germany 9 <1%
Australia 5 <1%
Brazil 5 <1%
Spain 4 <1%
Austria 3 <1%
Finland 3 <1%
Turkey 2 <1%
Other 26 1%
Unknown 1785 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 355 19%
Student > Master 285 15%
Student > Bachelor 222 12%
Researcher 189 10%
Student > Doctoral Student 100 5%
Other 385 20%
Unknown 345 18%
Readers by discipline Count As %
Psychology 446 24%
Computer Science 260 14%
Social Sciences 176 9%
Business, Management and Accounting 152 8%
Engineering 57 3%
Other 346 18%
Unknown 444 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2683. 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 03 July 2024.
All research outputs
#2,829
of 26,377,159 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#87
of 104,833 outputs
Outputs of similar age
#22
of 363,566 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#2
of 943 outputs
Altmetric has tracked 26,377,159 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 104,833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. 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 363,566 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 943 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.