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Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample

Overview of attention for article published in BMC Psychiatry, March 2020
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Mentioned by

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1 Facebook page

Citations

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10 Dimensions

Readers on

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104 Mendeley
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Title
Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample
Published in
BMC Psychiatry, March 2020
DOI 10.1186/s12888-020-02535-x
Pubmed ID
Authors

Jorge Barros, Susana Morales, Arnol García, Orietta Echávarri, Ronit Fischman, Marta Szmulewicz, Claudia Moya, Catalina Núñez, Alemka Tomicic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 11%
Student > Master 10 10%
Researcher 7 7%
Student > Ph. D. Student 7 7%
Student > Doctoral Student 5 5%
Other 18 17%
Unknown 46 44%
Readers by discipline Count As %
Psychology 14 13%
Medicine and Dentistry 9 9%
Nursing and Health Professions 6 6%
Computer Science 6 6%
Engineering 4 4%
Other 10 10%
Unknown 55 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 March 2020.
All research outputs
#20,617,329
of 23,207,489 outputs
Outputs from BMC Psychiatry
#4,313
of 4,791 outputs
Outputs of similar age
#315,861
of 370,012 outputs
Outputs of similar age from BMC Psychiatry
#112
of 142 outputs
Altmetric has tracked 23,207,489 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 370,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.