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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 (#19 of 169)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

blogs
1 blog
twitter
230 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
24 Mendeley
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 230 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Researcher 6 25%
Unspecified 4 17%
Student > Doctoral Student 3 13%
Student > Bachelor 1 4%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Unspecified 7 29%
Computer Science 4 17%
Social Sciences 4 17%
Environmental Science 2 8%
Medicine and Dentistry 2 8%
Other 4 17%
Unknown 1 4%

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 16 July 2019.
All research outputs
#95,372
of 13,644,862 outputs
Outputs from npj Digital Medicine
#19
of 169 outputs
Outputs of similar age
#4,155
of 268,753 outputs
Outputs of similar age from npj Digital Medicine
#1
of 1 outputs
Altmetric has tracked 13,644,862 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 169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 88.1. This one has done well, scoring higher than 88% 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 268,753 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