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Forecasting the onset and course of mental illness with Twitter data

Overview of attention for article published in arXiv, August 2016
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
60 tweeters
googleplus
1 Google+ user

Readers on

mendeley
12 Mendeley
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Title
Forecasting the onset and course of mental illness with Twitter data
Published in
arXiv, August 2016
Authors

Andrew G. Reece, Andrew J. Reagan, Katharina L. M. Lix, Peter Sheridan Dodds, Christopher M. Danforth, Ellen J. Langer

Twitter Demographics

The data shown below were collected from the profiles of 60 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 8%
United Kingdom 1 8%
Luxembourg 1 8%
Sri Lanka 1 8%
Belgium 1 8%
Unknown 7 58%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 25%
Researcher 3 25%
Student > Bachelor 2 17%
Student > Ph. D. Student 2 17%
Other 1 8%
Other 1 8%
Readers by discipline Count As %
Computer Science 6 50%
Psychology 2 17%
Physics and Astronomy 2 17%
Linguistics 1 8%
Engineering 1 8%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 02 December 2016.
All research outputs
#239,636
of 8,087,407 outputs
Outputs from arXiv
#3,831
of 452,981 outputs
Outputs of similar age
#14,640
of 248,843 outputs
Outputs of similar age from arXiv
#288
of 24,633 outputs
Altmetric has tracked 8,087,407 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 452,981 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 248,843 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 94% of its contemporaries.
We're also able to compare this research output to 24,633 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.