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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Overview of attention for article published in PLOS ONE, September 2013
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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
1096 Dimensions

Readers on

mendeley
2387 Mendeley
citeulike
9 CiteULike
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Title
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0073791
Pubmed ID
Authors

H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Stephanie M. Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin E. P. Seligman, Lyle H. Ungar

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 1,376 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 2,387 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 31 1%
United Kingdom 15 <1%
Germany 6 <1%
Russia 5 <1%
Indonesia 4 <1%
Brazil 4 <1%
France 3 <1%
Australia 3 <1%
Switzerland 3 <1%
Other 31 1%
Unknown 2282 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 408 17%
Student > Master 285 12%
Student > Bachelor 205 9%
Researcher 196 8%
Student > Doctoral Student 100 4%
Other 308 13%
Unknown 885 37%
Readers by discipline Count As %
Computer Science 382 16%
Psychology 350 15%
Social Sciences 206 9%
Business, Management and Accounting 117 5%
Linguistics 86 4%
Other 301 13%
Unknown 945 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1656. 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 25 August 2024.
All research outputs
#7,055
of 26,787,736 outputs
Outputs from PLOS ONE
#80
of 233,994 outputs
Outputs of similar age
#23
of 218,198 outputs
Outputs of similar age from PLOS ONE
#3
of 4,890 outputs
Altmetric has tracked 26,787,736 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 233,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. 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 218,198 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 4,890 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.