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Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia

Overview of attention for article published in Frontiers in Psychiatry, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia
Published in
Frontiers in Psychiatry, March 2023
DOI 10.3389/fpsyt.2023.1016586
Pubmed ID
Authors

Nuo Cheng, Meihao Guo, Fang Yan, Zhengjun Guo, Jun Meng, Kui Ning, Yanping Zhang, Zitian Duan, Yong Han, Changhong Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Nursing and Health Professions 2 22%
Computer Science 1 11%
Psychology 1 11%
Engineering 1 11%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 March 2023.
All research outputs
#14,652,769
of 23,572,442 outputs
Outputs from Frontiers in Psychiatry
#4,896
of 10,694 outputs
Outputs of similar age
#149,055
of 325,368 outputs
Outputs of similar age from Frontiers in Psychiatry
#171
of 532 outputs
Altmetric has tracked 23,572,442 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 53% 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 325,368 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 53% of its contemporaries.
We're also able to compare this research output to 532 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 66% of its contemporaries.