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The Evolving Diagnostic and Genetic Landscapes of Autism Spectrum Disorder

Overview of attention for article published in Frontiers in Genetics, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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35 Dimensions

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102 Mendeley
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Title
The Evolving Diagnostic and Genetic Landscapes of Autism Spectrum Disorder
Published in
Frontiers in Genetics, April 2016
DOI 10.3389/fgene.2016.00065
Pubmed ID
Authors

Mark N. Ziats, Owen M. Rennert

Abstract

The autism spectrum disorders (ASD) are a heterogeneous set of neurodevelopmental syndromes defined by impairments in verbal and non-verbal communication, restricted social interaction, and the presence of stereotyped patterns of behavior. The prevalence of ASD is rising, and the diagnostic criteria and clinical perspectives on the disorder continue to evolve in parallel. Although the majority of individuals with ASD will not have an identifiable genetic cause, almost 25% of cases have identifiable causative DNA variants. The rapidly improving ability to identify genetic mutations because of advances in next generation sequencing, coupled with previous epidemiological studies demonstrating high heritability of ASD, have led to many recent attempts to identify causative genetic mutations underlying the ASD phenotype. However, although hundreds of mutations have been identified to date, they are either rare variants affecting only a handful of ASD patients, or are common variants in the general population conferring only a small risk for ASD. Furthermore, the genes implicated thus far are heterogeneous in their structure and function, hampering attempts to understand shared molecular mechanisms among all ASD patients; an understanding that is crucial for the development of targeted diagnostics and therapies. However, new work is beginning to suggest that the heterogeneous set of genes implicated in ASD may ultimately converge on a few common pathways. In this review, we discuss the parallel evolution of our diagnostic and genetic understanding of autism spectrum disorders, and highlight recent attempts to infer common biology underlying this complicated syndrome.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Denmark 1 <1%
Brazil 1 <1%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Student > Master 14 14%
Researcher 13 13%
Student > Doctoral Student 9 9%
Student > Postgraduate 9 9%
Other 26 25%
Unknown 17 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 20%
Agricultural and Biological Sciences 18 18%
Medicine and Dentistry 18 18%
Neuroscience 9 9%
Psychology 7 7%
Other 9 9%
Unknown 21 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 November 2019.
All research outputs
#6,304,362
of 25,654,806 outputs
Outputs from Frontiers in Genetics
#1,741
of 13,779 outputs
Outputs of similar age
#82,807
of 313,030 outputs
Outputs of similar age from Frontiers in Genetics
#18
of 72 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 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,779 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% 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 313,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.