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Erratum to: Instagram photos reveal predictive markers of depression

Overview of attention for article published in EPJ Data Science, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 377)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
77 news outlets

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
13 Mendeley
Title
Erratum to: Instagram photos reveal predictive markers of depression
Published in
EPJ Data Science, September 2017
DOI 10.1140/epjds/s13688-017-0118-4
Authors

Andrew G Reece, Christopher M Danforth

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Student > Ph. D. Student 1 8%
Lecturer 1 8%
Librarian 1 8%
Student > Bachelor 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 3 23%
Arts and Humanities 1 8%
Nursing and Health Professions 1 8%
Business, Management and Accounting 1 8%
Psychology 1 8%
Other 1 8%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 597. 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 28 September 2018.
All research outputs
#31,524
of 23,001,641 outputs
Outputs from EPJ Data Science
#5
of 377 outputs
Outputs of similar age
#716
of 315,613 outputs
Outputs of similar age from EPJ Data Science
#2
of 12 outputs
Altmetric has tracked 23,001,641 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 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.1. This one has done particularly well, scoring higher than 98% 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 315,613 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 99% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.