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Brain functional networks in syndromic and non-syndromic autism: a graph theoretical study of EEG connectivity

Overview of attention for article published in BMC Medicine, February 2013
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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 (96th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
21 tweeters
facebook
3 Facebook pages
video
1 video uploader

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
259 Mendeley
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Title
Brain functional networks in syndromic and non-syndromic autism: a graph theoretical study of EEG connectivity
Published in
BMC Medicine, February 2013
DOI 10.1186/1741-7015-11-54
Pubmed ID
Authors

Jurriaan M Peters, Maxime Taquet, Clemente Vega, Shafali S Jeste, Iván Sánchez Fernández, Jacqueline Tan, Charles A Nelson, Mustafa Sahin, Simon K Warfield

Abstract

Graph theory has been recently introduced to characterize complex brain networks, making it highly suitable to investigate altered connectivity in neurologic disorders. A current model proposes autism spectrum disorder (ASD) as a developmental disconnection syndrome, supported by converging evidence in both non-syndromic and syndromic ASD. However, the effects of abnormal connectivity on network properties have not been well studied, particularly in syndromic ASD. To close this gap, brain functional networks of electroencephalographic (EEG) connectivity were studied through graph measures in patients with Tuberous Sclerosis Complex (TSC), a disorder with a high prevalence of ASD, as well as in patients with non-syndromic ASD.

Twitter Demographics

The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
Netherlands 2 <1%
Italy 1 <1%
Indonesia 1 <1%
Korea, Republic of 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Other 5 2%
Unknown 241 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 24%
Researcher 44 17%
Student > Master 30 12%
Student > Bachelor 27 10%
Student > Doctoral Student 16 6%
Other 63 24%
Unknown 17 7%
Readers by discipline Count As %
Psychology 51 20%
Medicine and Dentistry 50 19%
Neuroscience 41 16%
Engineering 25 10%
Agricultural and Biological Sciences 22 8%
Other 40 15%
Unknown 30 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 13 February 2018.
All research outputs
#462,609
of 13,623,232 outputs
Outputs from BMC Medicine
#385
of 2,154 outputs
Outputs of similar age
#4,857
of 145,153 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 13,623,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one has done well, scoring higher than 82% 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 145,153 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them