↓ Skip to main content

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
Altmetric Badge

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 (84th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
52 X users
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
123 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 12%
Researcher 12 10%
Student > Bachelor 11 9%
Student > Ph. D. Student 8 7%
Other 7 6%
Other 18 15%
Unknown 52 42%
Readers by discipline Count As %
Medicine and Dentistry 22 18%
Psychology 15 12%
Nursing and Health Professions 5 4%
Unspecified 5 4%
Agricultural and Biological Sciences 3 2%
Other 13 11%
Unknown 60 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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
#859,870
of 25,387,668 outputs
Outputs from Cochrane database of systematic reviews
#1,665
of 11,487 outputs
Outputs of similar age
#23,684
of 453,841 outputs
Outputs of similar age from Cochrane database of systematic reviews
#20
of 126 outputs
Altmetric has tracked 25,387,668 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 11,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.9. This one has done well, scoring higher than 85% 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 453,841 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 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.