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Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

Overview of attention for article published in BMC Psychiatry, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
208 Mendeley
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Title
Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments
Published in
BMC Psychiatry, March 2014
DOI 10.1186/1471-244x-14-76
Pubmed ID
Authors

Truyen Tran, Wei Luo, Dinh Phung, Richard Harvey, Michael Berk, Richard Lee Kennedy, Svetha Venkatesh

Twitter Demographics

The data shown below were collected from the profiles of 16 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Australia 1 <1%
Chile 1 <1%
Indonesia 1 <1%
Canada 1 <1%
Egypt 1 <1%
Portugal 1 <1%
Unknown 198 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 22%
Student > Ph. D. Student 30 14%
Other 18 9%
Student > Master 17 8%
Student > Bachelor 17 8%
Other 50 24%
Unknown 31 15%
Readers by discipline Count As %
Medicine and Dentistry 57 27%
Psychology 45 22%
Computer Science 14 7%
Nursing and Health Professions 10 5%
Social Sciences 10 5%
Other 26 13%
Unknown 46 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 January 2022.
All research outputs
#2,610,272
of 20,009,828 outputs
Outputs from BMC Psychiatry
#964
of 4,122 outputs
Outputs of similar age
#28,456
of 199,611 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 20,009,828 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,122 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 76% 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 199,611 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them