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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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
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.