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Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review

Overview of attention for article published in Frontiers in Psychiatry, March 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
3 Mendeley
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Title
Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review
Published in
Frontiers in Psychiatry, March 2024
DOI 10.3389/fpsyt.2024.1384828
Pubmed ID
Authors

Mohammadamin Parsaei, Alireza Arvin, Morvarid Taebi, Homa Seyedmirzaei, Giulia Cattarinussi, Fabio Sambataro, Alessandro Pigoni, Paolo Brambilla, Giuseppe Delvecchio

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Researcher 1 33%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 33%
Psychology 1 33%
Medicine and Dentistry 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2024.
All research outputs
#14,885,831
of 25,534,033 outputs
Outputs from Frontiers in Psychiatry
#4,659
of 12,794 outputs
Outputs of similar age
#55,619
of 154,360 outputs
Outputs of similar age from Frontiers in Psychiatry
#38
of 314 outputs
Altmetric has tracked 25,534,033 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 63% 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 154,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.