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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
59 tweeters
googleplus
1 Google+ user

Readers on

mendeley
15 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 59 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 7%
United Kingdom 1 7%
Luxembourg 1 7%
Sri Lanka 1 7%
Belgium 1 7%
Unknown 10 67%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 20%
Student > Ph. D. Student 3 20%
Researcher 3 20%
Student > Bachelor 2 13%
Other 2 13%
Other 2 13%
Readers by discipline Count As %
Computer Science 8 53%
Psychology 2 13%
Physics and Astronomy 2 13%
Linguistics 1 7%
Medicine and Dentistry 1 7%
Other 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 09 August 2017.
All research outputs
#187,372
of 8,348,788 outputs
Outputs from arXiv
#2,796
of 467,833 outputs
Outputs of similar age
#11,668
of 252,001 outputs
Outputs of similar age from arXiv
#215
of 24,617 outputs
Altmetric has tracked 8,348,788 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 467,833 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 252,001 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 95% of its contemporaries.
We're also able to compare this research output to 24,617 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 99% of its contemporaries.