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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)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
224 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
65 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

The data shown below were collected from the profiles of 224 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Master 11 17%
Student > Ph. D. Student 10 15%
Student > Bachelor 4 6%
Student > Doctoral Student 3 5%
Other 10 15%
Unknown 11 17%
Readers by discipline Count As %
Computer Science 14 22%
Social Sciences 13 20%
Linguistics 3 5%
Medicine and Dentistry 3 5%
Psychology 3 5%
Other 10 15%
Unknown 19 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 154. 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
#196,952
of 21,406,274 outputs
Outputs from npj Digital Medicine
#57
of 587 outputs
Outputs of similar age
#4,983
of 299,612 outputs
Outputs of similar age from npj Digital Medicine
#1
of 1 outputs
Altmetric has tracked 21,406,274 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 587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.1. 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 299,612 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them