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Variation in Gene Expression in Autism Spectrum Disorders: An Extensive Review of Transcriptomic Studies

Overview of attention for article published in Frontiers in Neuroscience, January 2017
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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Variation in Gene Expression in Autism Spectrum Disorders: An Extensive Review of Transcriptomic Studies
Published in
Frontiers in Neuroscience, January 2017
DOI 10.3389/fnins.2016.00601
Pubmed ID
Authors

Ashley Ansel, Joshua P. Rosenzweig, Philip D. Zisman, Michal Melamed, Benjamin Gesundheit

Abstract

Autism spectrum disorders (ASDs) are a group of complex neurodevelopmental conditions that present in early childhood and have a current estimated prevalence of about 1 in 68 US children, 1 in 42 boys. ASDs are heterogeneous, and arise from epigenetic, genetic and environmental origins, yet, the exact etiology of ASDs still remains unknown. Individuals with ASDs are characterized by having deficits in social interaction, impaired communication and a range of stereotyped and repetitive behaviors. Currently, a diagnosis of ASD is based solely on behavioral assessments and phenotype. Hundreds of diverse ASD susceptibility genes have been identified, yet none of the mutations found account for more than a small subset of autism cases. Therefore, a genetic diagnosis is not yet possible for the majority of the ASD population. The susceptibility genes that have been identified are involved in a wide and varied range of biological functions. Since the genetics of ASDs is so diverse, information on genome function as provided by transcriptomic data is essential to further our understanding. Gene expression studies have been extremely useful in comparing groups of individuals with ASD and control samples in order to measure which genes (or group of genes) are dysregulated in the ASD group. Transcriptomic studies are essential as a key link between measuring protein levels and analyzing genetic information. This review of recent autism gene expression studies highlights genes that are expressed in the brain, immune system, and processes such as cell metabolism and embryology. Various biological processes have been shown to be implicated with ASD individuals as well as differences in gene expression levels between different types of biological tissues. Some studies use gene expression to attempt to separate autism into different subtypes. An updated list of genes shown to be significantly dysregulated in individuals with autism from all recent ASD expression studies will help further research isolate any patterns useful for diagnosis or understanding the mechanisms involved. The functional relevance of transcriptomic studies as a method of classifying and diagnosing ASD cannot be underestimated despite the possible limitations of transcriptomic studies.

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X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Italy 1 <1%
Unknown 227 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 15%
Student > Master 28 12%
Researcher 24 10%
Student > Bachelor 24 10%
Student > Doctoral Student 14 6%
Other 36 16%
Unknown 68 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 15%
Neuroscience 32 14%
Agricultural and Biological Sciences 21 9%
Psychology 17 7%
Medicine and Dentistry 14 6%
Other 32 14%
Unknown 78 34%
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 30 July 2024.
All research outputs
#5,135,420
of 26,549,961 outputs
Outputs from Frontiers in Neuroscience
#3,810
of 11,926 outputs
Outputs of similar age
#89,530
of 428,478 outputs
Outputs of similar age from Frontiers in Neuroscience
#36
of 176 outputs
Altmetric has tracked 26,549,961 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 66% 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 428,478 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 77% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.