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Characterizing autism spectrum disorders by key biochemical pathways

Overview of attention for article published in Frontiers in Neuroscience, September 2015
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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2 news outlets
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4 X users

Citations

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57 Dimensions

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199 Mendeley
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Title
Characterizing autism spectrum disorders by key biochemical pathways
Published in
Frontiers in Neuroscience, September 2015
DOI 10.3389/fnins.2015.00313
Pubmed ID
Authors

Megha Subramanian, Christina K. Timmerman, Joshua L. Schwartz, Daniel L. Pham, Mollie K. Meffert

Abstract

The genetic and phenotypic heterogeneity of autism spectrum disorders (ASD) presents a substantial challenge for diagnosis, classification, research, and treatment. Investigations into the underlying molecular etiology of ASD have often yielded mixed and at times opposing findings. Defining the molecular and biochemical underpinnings of heterogeneity in ASD is crucial to our understanding of the pathophysiological development of the disorder, and has the potential to assist in diagnosis and the rational design of clinical trials. In this review, we propose that genetically diverse forms of ASD may be usefully parsed into entities resulting from converse patterns of growth regulation at the molecular level, which lead to the correlates of general synaptic and neural overgrowth or undergrowth. Abnormal brain growth during development is a characteristic feature that has been observed both in children with autism and in mouse models of autism. We review evidence from syndromic and non-syndromic ASD to suggest that entities currently classified as autism may fundamentally differ by underlying pro- or anti-growth abnormalities in key biochemical pathways, giving rise to either excessive or reduced synaptic connectivity in affected brain regions. We posit that this classification strategy has the potential not only to aid research efforts, but also to ultimately facilitate early diagnosis and direct appropriate therapeutic interventions.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 1 <1%
Poland 1 <1%
Unknown 195 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 17%
Researcher 31 16%
Student > Bachelor 25 13%
Student > Master 19 10%
Student > Doctoral Student 16 8%
Other 33 17%
Unknown 42 21%
Readers by discipline Count As %
Neuroscience 35 18%
Agricultural and Biological Sciences 28 14%
Medicine and Dentistry 27 14%
Biochemistry, Genetics and Molecular Biology 23 12%
Psychology 14 7%
Other 23 12%
Unknown 49 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 03 May 2018.
All research outputs
#1,744,867
of 25,654,806 outputs
Outputs from Frontiers in Neuroscience
#889
of 11,659 outputs
Outputs of similar age
#23,639
of 286,558 outputs
Outputs of similar age from Frontiers in Neuroscience
#9
of 154 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 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 92% 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 286,558 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 91% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.