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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
  • Among the highest-scoring outputs from this source (#45 of 425)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

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

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
53 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 215 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 7 13%
Unknown 10 19%
Readers by discipline Count As %
Computer Science 12 23%
Social Sciences 10 19%
Psychology 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Linguistics 2 4%
Other 8 15%
Unknown 16 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 146. 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 03 May 2021.
All research outputs
#160,987
of 17,704,521 outputs
Outputs from npj Digital Medicine
#45
of 425 outputs
Outputs of similar age
#4,902
of 286,439 outputs
Outputs of similar age from npj Digital Medicine
#1
of 1 outputs
Altmetric has tracked 17,704,521 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 425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done well, scoring higher than 89% 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 286,439 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