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PNAS

Private traits and attributes are predictable from digital records of human behavior

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, March 2013
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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 (#40 of 103,003)
  • 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
1906 Dimensions

Readers on

mendeley
3056 Mendeley
citeulike
28 CiteULike
Title
Private traits and attributes are predictable from digital records of human behavior
Published in
Proceedings of the National Academy of Sciences of the United States of America, March 2013
DOI 10.1073/pnas.1218772110
Pubmed ID
Authors

Michal Kosinski, David Stillwell, Thore Graepel

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,543 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 3,056 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 52 2%
United Kingdom 32 1%
Germany 26 <1%
France 10 <1%
Brazil 9 <1%
Australia 7 <1%
Spain 6 <1%
Finland 6 <1%
Austria 5 <1%
Other 67 2%
Unknown 2836 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 633 21%
Student > Master 545 18%
Researcher 388 13%
Student > Bachelor 303 10%
Student > Doctoral Student 158 5%
Other 576 19%
Unknown 453 15%
Readers by discipline Count As %
Computer Science 589 19%
Psychology 502 16%
Social Sciences 381 12%
Business, Management and Accounting 236 8%
Agricultural and Biological Sciences 120 4%
Other 644 21%
Unknown 584 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3671. 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 21 February 2024.
All research outputs
#1,455
of 25,393,071 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#40
of 103,003 outputs
Outputs of similar age
#5
of 208,637 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#1
of 1,014 outputs
Altmetric has tracked 25,393,071 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 103,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. 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 208,637 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 1,014 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.