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Multisite functional connectivity MRI classification of autism: ABIDE results

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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3 news outlets
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7 X users

Readers on

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310 Mendeley
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Title
Multisite functional connectivity MRI classification of autism: ABIDE results
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00599
Pubmed ID
Authors

Jared A. Nielsen, Brandon A. Zielinski, P. Thomas Fletcher, Andrew L. Alexander, Nicholas Lange, Erin D. Bigler, Janet E. Lainhart, Jeffrey S. Anderson

Abstract

Systematic differences in functional connectivity MRI metrics have been consistently observed in autism, with predominantly decreased cortico-cortical connectivity. Previous attempts at single subject classification in high-functioning autism using whole brain point-to-point functional connectivity have yielded about 80% accurate classification of autism vs. control subjects across a wide age range. We attempted to replicate the method and results using the Autism Brain Imaging Data Exchange (ABIDE) including resting state fMRI data obtained from 964 subjects and 16 separate international sites.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Brazil 2 <1%
Finland 1 <1%
Germany 1 <1%
Singapore 1 <1%
United Kingdom 1 <1%
Unknown 300 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 21%
Student > Master 46 15%
Researcher 39 13%
Student > Bachelor 24 8%
Student > Doctoral Student 21 7%
Other 53 17%
Unknown 63 20%
Readers by discipline Count As %
Neuroscience 54 17%
Computer Science 41 13%
Psychology 40 13%
Engineering 26 8%
Medicine and Dentistry 17 5%
Other 50 16%
Unknown 82 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 2015.
All research outputs
#1,574,846
of 25,042,800 outputs
Outputs from Frontiers in Human Neuroscience
#734
of 7,606 outputs
Outputs of similar age
#14,159
of 293,267 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#123
of 861 outputs
Altmetric has tracked 25,042,800 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 90% 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 293,267 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 95% of its contemporaries.
We're also able to compare this research output to 861 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.