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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
748 Dimensions

Readers on

mendeley
1869 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 1,222 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 1,869 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 1773 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 355 19%
Student > Master 284 15%
Student > Bachelor 224 12%
Researcher 189 10%
Student > Doctoral Student 100 5%
Other 386 21%
Unknown 331 18%
Readers by discipline Count As %
Psychology 445 24%
Computer Science 260 14%
Social Sciences 177 9%
Business, Management and Accounting 154 8%
Engineering 57 3%
Other 346 19%
Unknown 430 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2682. 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 31 March 2024.
All research outputs
#2,793
of 26,004,690 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#87
of 104,102 outputs
Outputs of similar age
#22
of 362,796 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 26,004,690 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 104,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. 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 362,796 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.