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A “Bottom-Up” Approach to Aetiological Research in Autism Spectrum Disorders

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 blog
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11 X users
facebook
1 Facebook page
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1 Google+ user

Citations

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11 Dimensions

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84 Mendeley
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Title
A “Bottom-Up” Approach to Aetiological Research in Autism Spectrum Disorders
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00606
Pubmed ID
Authors

Lisa M. Unwin, Murray T. Maybery, John A. Wray, Andrew J. O. Whitehouse

Abstract

Autism spectrum disorders (ASD) are currently diagnosed in the presence of impairments in social interaction and communication, and a restricted range of activities and interests. However, there is considerable variability in the behaviors of different individuals with an ASD diagnosis. The heterogeneity spans the entire range of IQ and language abilities, as well as other behavioral, communicative, and social functions. While any psychiatric condition is likely to incorporate a degree of heterogeneity, the variability in the nature and severity of behaviors observed in ASD is thought to exceed that of other disorders. The current paper aims to provide a model for future research into ASD subgroups. In doing so, we examined whether two proposed risk factors - low birth weight (LBW), and in utero exposure to selective serotonin reuptake inhibitors (SSRIs) - are associated with greater behavioral homogeneity. Using data from the Western Australian Autism Biological Registry, this study found that LBW and maternal SSRI use during pregnancy were associated with greater sleep disturbances and a greater number of gastrointestinal complaints in children with ASD, respectively. The findings from this "proof of principle" paper provide support for this "bottom-up" approach as a feasible method for creating homogenous groups.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 82 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 14 17%
Professor > Associate Professor 7 8%
Student > Master 7 8%
Student > Bachelor 5 6%
Other 18 21%
Unknown 17 20%
Readers by discipline Count As %
Medicine and Dentistry 26 31%
Psychology 15 18%
Neuroscience 5 6%
Agricultural and Biological Sciences 5 6%
Engineering 4 5%
Other 8 10%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 21 July 2017.
All research outputs
#2,233,458
of 25,654,806 outputs
Outputs from Frontiers in Human Neuroscience
#1,020
of 7,741 outputs
Outputs of similar age
#20,669
of 290,396 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#165
of 861 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 86% 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 290,396 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 92% 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 80% of its contemporaries.