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Impaired social brain network for processing dynamic facial expressions in autism spectrum disorders

Overview of attention for article published in BMC Neuroscience, August 2012
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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)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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9 X users
facebook
1 Facebook page

Citations

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122 Dimensions

Readers on

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226 Mendeley
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Title
Impaired social brain network for processing dynamic facial expressions in autism spectrum disorders
Published in
BMC Neuroscience, August 2012
DOI 10.1186/1471-2202-13-99
Pubmed ID
Authors

Wataru Sato, Motomi Toichi, Shota Uono, Takanori Kochiyama

Abstract

Impairment of social interaction via facial expressions represents a core clinical feature of autism spectrum disorders (ASD). However, the neural correlates of this dysfunction remain unidentified. Because this dysfunction is manifested in real-life situations, we hypothesized that the observation of dynamic, compared with static, facial expressions would reveal abnormal brain functioning in individuals with ASD.We presented dynamic and static facial expressions of fear and happiness to individuals with high-functioning ASD and to age- and sex-matched typically developing controls and recorded their brain activities using functional magnetic resonance imaging (fMRI).

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 4 2%
Germany 2 <1%
Japan 2 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Finland 1 <1%
Taiwan 1 <1%
Unknown 214 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 20%
Student > Master 35 15%
Researcher 28 12%
Student > Bachelor 22 10%
Student > Doctoral Student 12 5%
Other 44 19%
Unknown 40 18%
Readers by discipline Count As %
Psychology 63 28%
Neuroscience 29 13%
Medicine and Dentistry 24 11%
Agricultural and Biological Sciences 18 8%
Sports and Recreations 5 2%
Other 33 15%
Unknown 54 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 February 2013.
All research outputs
#5,466,139
of 25,654,806 outputs
Outputs from BMC Neuroscience
#235
of 1,304 outputs
Outputs of similar age
#37,926
of 186,362 outputs
Outputs of similar age from BMC Neuroscience
#4
of 33 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,304 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 186,362 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 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.