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Metabolic Dysfunction Underlying Autism Spectrum Disorder and Potential Treatment Approaches

Overview of attention for article published in Frontiers in Molecular Neuroscience, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 3,372)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
blogs
3 blogs
twitter
64 X users
facebook
7 Facebook pages
googleplus
2 Google+ users
video
2 YouTube creators

Readers on

mendeley
247 Mendeley
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Title
Metabolic Dysfunction Underlying Autism Spectrum Disorder and Potential Treatment Approaches
Published in
Frontiers in Molecular Neuroscience, February 2017
DOI 10.3389/fnmol.2017.00034
Pubmed ID
Authors

Ning Cheng, Jong M. Rho, Susan A. Masino

Abstract

Autism spectrum disorder (ASD) is characterized by deficits in sociability and communication, and increased repetitive and/or restrictive behaviors. While the etio-pathogenesis of ASD is unknown, clinical manifestations are diverse and many possible genetic and environmental factors have been implicated. As such, it has been a great challenge to identify key neurobiological mechanisms and to develop effective treatments. Current therapies focus on co-morbid conditions (such as epileptic seizures and sleep disturbances) and there is no cure for the core symptoms. Recent studies have increasingly implicated mitochondrial dysfunction in ASD. The fact that mitochondria are an integral part of diverse cellular functions and are susceptible to many insults could explain how a wide range of factors can contribute to a consistent behavioral phenotype in ASD. Meanwhile, the high-fat, low-carbohydrate ketogenic diet (KD), used for nearly a century to treat medically intractable epilepsy, has been shown to enhance mitochondrial function through a multiplicity of mechanisms and affect additional molecular targets that may address symptoms and comorbidities of ASD. Here, we review the evidence for the use of metabolism-based therapies such as the KD in the treatment of ASD as well as emerging co-morbid models of epilepsy and autism. Future research directions aimed at validating such therapeutic approaches and identifying additional and novel mechanistic targets are also discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 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 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 246 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 15%
Researcher 34 14%
Student > Ph. D. Student 28 11%
Student > Bachelor 27 11%
Student > Postgraduate 11 4%
Other 38 15%
Unknown 73 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 14%
Neuroscience 34 14%
Medicine and Dentistry 34 14%
Agricultural and Biological Sciences 16 6%
Psychology 15 6%
Other 28 11%
Unknown 86 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 103. 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 10 April 2024.
All research outputs
#414,951
of 25,707,225 outputs
Outputs from Frontiers in Molecular Neuroscience
#23
of 3,372 outputs
Outputs of similar age
#8,752
of 324,858 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#1
of 103 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,372 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% 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 324,858 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 97% of its contemporaries.
We're also able to compare this research output to 103 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 99% of its contemporaries.