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Identification of candidate intergenic risk loci in autism spectrum disorder

Overview of attention for article published in BMC Genomics, July 2013
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Citations

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46 Dimensions

Readers on

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74 Mendeley
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Title
Identification of candidate intergenic risk loci in autism spectrum disorder
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-499
Pubmed ID
Authors

Susan Walker, Stephen W Scherer

Abstract

Copy number variations (CNVs) and DNA sequence alterations affecting specific neuronal genes are established risk factors for Autism Spectrum Disorder (ASD). In what is largely considered a genetic condition, so far, these mutations account for ~20% of individuals having an ASD diagnosis. However, non-coding genomic sequence also contains functional elements introducing additional disease risk loci for investigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Iceland 1 1%
Portugal 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 27%
Researcher 9 12%
Student > Master 8 11%
Student > Bachelor 8 11%
Professor 4 5%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 31%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 10 14%
Neuroscience 7 9%
Psychology 3 4%
Other 5 7%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 July 2013.
All research outputs
#15,512,216
of 25,373,627 outputs
Outputs from BMC Genomics
#5,701
of 11,244 outputs
Outputs of similar age
#117,026
of 209,580 outputs
Outputs of similar age from BMC Genomics
#87
of 179 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 209,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.