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Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses

Overview of attention for article published in PLOS ONE, December 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
150 X users
facebook
18 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
5 Google+ users
reddit
5 Redditors
pinterest
1 Pinner

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
226 Mendeley
citeulike
1 CiteULike
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Title
Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0050698
Pubmed ID
Authors

Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Xuejun Hao, Dongrong Xu, Jun Liu, Myrna Weissman, Bradley S. Peterson

Abstract

Diagnoses using imaging-based measures alone offer the hope of improving the accuracy of clinical diagnosis, thereby reducing the costs associated with incorrect treatments. Previous attempts to use brain imaging for diagnosis, however, have had only limited success in diagnosing patients who are independent of the samples used to derive the diagnostic algorithms. We aimed to develop a classification algorithm that can accurately diagnose chronic, well-characterized neuropsychiatric illness in single individuals, given the availability of sufficiently precise delineations of brain regions across several neural systems in anatomical MR images of the brain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 150 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
France 2 <1%
Norway 2 <1%
Sweden 2 <1%
Brazil 1 <1%
Australia 1 <1%
Germany 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 205 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 19%
Researcher 41 18%
Student > Master 26 12%
Student > Bachelor 21 9%
Other 17 8%
Other 44 19%
Unknown 34 15%
Readers by discipline Count As %
Psychology 64 28%
Medicine and Dentistry 37 16%
Neuroscience 21 9%
Agricultural and Biological Sciences 12 5%
Engineering 11 5%
Other 33 15%
Unknown 48 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 167. 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 12 February 2024.
All research outputs
#247,884
of 26,017,215 outputs
Outputs from PLOS ONE
#3,592
of 225,486 outputs
Outputs of similar age
#1,530
of 292,496 outputs
Outputs of similar age from PLOS ONE
#59
of 4,832 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 98% 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 292,496 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 4,832 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.