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Cochrane Database of Systematic Reviews

Prognostic models for predicting relapse or recurrence of major depressive disorder in adults

Overview of attention for article published in Cochrane database of systematic reviews, May 2021
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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)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
53 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
74 Mendeley
Title
Prognostic models for predicting relapse or recurrence of major depressive disorder in adults
Published in
Cochrane database of systematic reviews, May 2021
DOI 10.1002/14651858.cd013491.pub2
Pubmed ID
Authors

Andrew S Moriarty, Nicholas Meader, Kym IE Snell, Richard D Riley, Lewis W Paton, Carolyn A Chew-Graham, Simon Gilbody, Rachel Churchill, Robert S Phillips, Shehzad Ali, Dean McMillan

Twitter Demographics

The data shown below were collected from the profiles of 53 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Student > Bachelor 8 11%
Researcher 7 9%
Student > Ph. D. Student 7 9%
Unspecified 5 7%
Other 9 12%
Unknown 26 35%
Readers by discipline Count As %
Psychology 12 16%
Medicine and Dentistry 11 15%
Unspecified 5 7%
Agricultural and Biological Sciences 3 4%
Nursing and Health Professions 3 4%
Other 9 12%
Unknown 31 42%

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 21 April 2022.
All research outputs
#661,704
of 21,756,717 outputs
Outputs from Cochrane database of systematic reviews
#1,394
of 12,100 outputs
Outputs of similar age
#17,748
of 342,152 outputs
Outputs of similar age from Cochrane database of systematic reviews
#10
of 26 outputs
Altmetric has tracked 21,756,717 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,100 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.6. 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 342,152 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 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.