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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
196 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
81 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

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 196 tweeters 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 23%
Student > Master 11 14%
Student > Ph. D. Student 10 12%
Unspecified 5 6%
Student > Doctoral Student 3 4%
Other 16 20%
Unknown 17 21%
Readers by discipline Count As %
Computer Science 14 17%
Social Sciences 12 15%
Unspecified 5 6%
Arts and Humanities 4 5%
Business, Management and Accounting 3 4%
Other 18 22%
Unknown 25 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 136. 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
#289,215
of 24,524,436 outputs
Outputs from npj Digital Medicine
#87
of 878 outputs
Outputs of similar age
#6,391
of 335,413 outputs
Outputs of similar age from npj Digital Medicine
#6
of 22 outputs
Altmetric has tracked 24,524,436 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 878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.4. 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 335,413 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.