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Don’t quote me: reverse identification of research participants in social media studies

Overview of attention for article published in npj Digital Medicine, August 2018
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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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
187 X users
facebook
1 Facebook page

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
82 Mendeley
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Title
Don’t quote me: reverse identification of research participants in social media studies
Published in
npj Digital Medicine, August 2018
DOI 10.1038/s41746-018-0036-2
Pubmed ID
Authors

John W. Ayers, Theodore L. Caputi, Camille Nebeker, Mark Dredze

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 187 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 27%
Student > Ph. D. Student 12 15%
Student > Master 12 15%
Other 3 4%
Student > Doctoral Student 3 4%
Other 12 15%
Unknown 18 22%
Readers by discipline Count As %
Computer Science 14 17%
Social Sciences 12 15%
Arts and Humanities 6 7%
Linguistics 4 5%
Medicine and Dentistry 4 5%
Other 16 20%
Unknown 26 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 131. 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 27 January 2022.
All research outputs
#341,345
of 26,596,651 outputs
Outputs from npj Digital Medicine
#115
of 1,153 outputs
Outputs of similar age
#6,882
of 345,950 outputs
Outputs of similar age from npj Digital Medicine
#5
of 22 outputs
Altmetric has tracked 26,596,651 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.7. This one has done particularly well, scoring higher than 90% 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 345,950 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 98% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.