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Classification of schizophrenia patients based on resting-state functional network connectivity

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
162 Dimensions

Readers on

mendeley
215 Mendeley
citeulike
1 CiteULike
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Title
Classification of schizophrenia patients based on resting-state functional network connectivity
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00133
Pubmed ID
Authors

Mohammad R. Arbabshirani, Kent A. Kiehl, Godfrey D. Pearlson, Vince D. Calhoun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
France 1 <1%
Finland 1 <1%
India 1 <1%
Chile 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
China 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 204 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 27%
Researcher 33 15%
Student > Master 26 12%
Student > Bachelor 16 7%
Professor > Associate Professor 11 5%
Other 35 16%
Unknown 35 16%
Readers by discipline Count As %
Neuroscience 43 20%
Psychology 27 13%
Agricultural and Biological Sciences 21 10%
Engineering 21 10%
Computer Science 20 9%
Other 28 13%
Unknown 55 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 June 2020.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#4,098
of 11,538 outputs
Outputs of similar age
#53,697
of 288,986 outputs
Outputs of similar age from Frontiers in Neuroscience
#87
of 246 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 64% 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 288,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 246 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 64% of its contemporaries.