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A Comprehensive Review of Computational Methods for Automatic Prediction of Schizophrenia With Insight Into Indigenous Populations

Overview of attention for article published in Frontiers in Psychiatry, September 2019
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Citations

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Title
A Comprehensive Review of Computational Methods for Automatic Prediction of Schizophrenia With Insight Into Indigenous Populations
Published in
Frontiers in Psychiatry, September 2019
DOI 10.3389/fpsyt.2019.00659
Pubmed ID
Authors

Randall Ratana, Hamid Sharifzadeh, Jamuna Krishnan, Shaoning Pang

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 13%
Researcher 11 12%
Student > Master 10 11%
Student > Bachelor 9 10%
Student > Doctoral Student 6 6%
Other 14 15%
Unknown 31 33%
Readers by discipline Count As %
Psychology 22 24%
Medicine and Dentistry 11 12%
Neuroscience 9 10%
Computer Science 4 4%
Engineering 3 3%
Other 11 12%
Unknown 33 35%
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 15 October 2019.
All research outputs
#20,234,005
of 25,732,188 outputs
Outputs from Frontiers in Psychiatry
#7,617
of 12,879 outputs
Outputs of similar age
#254,100
of 352,355 outputs
Outputs of similar age from Frontiers in Psychiatry
#171
of 224 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 33rd percentile – i.e., 33% 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 352,355 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.