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Mass spectrometry as a tool for studying autism spectrum disorder

Overview of attention for article published in Journal of Molecular Psychiatry, May 2013
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
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8 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

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32 Dimensions

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50 Mendeley
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Title
Mass spectrometry as a tool for studying autism spectrum disorder
Published in
Journal of Molecular Psychiatry, May 2013
DOI 10.1186/2049-9256-1-6
Pubmed ID
Authors

Alisa G Woods, Armand G Ngounou Wetie, Izabela Sokolowska, Stefanie Russell, Jeanne P Ryan, Tanja Maria Michel, Johannes Thome, Costel C Darie

Abstract

Autism spectrum disorders (ASDs) are increasing in incidence but have an incompletely understood etiology. Tools for uncovering clues to the cause of ASDs and means for diagnoses are valuable to the field. Mass Spectrometry (MS) has been a useful method for evaluating differences between individuals with ASDs versus matched controls. Different biological substances can be evaluated using MS, including urine, blood, saliva, and hair. This technique has been used to evaluate relatively unsupported hypotheses based on introduction of exogenous factors, such as opiate and heavy metal excretion theories of ASDs. MS has also been used to support disturbances in serotonin-related molecules, which have been more consistently observed in ASDs. Serotonergic system markers, markers for oxidative stress, cholesterol system disturbances, peptide hypo-phosphorylation and methylation have been measured using MS in ASDs, although further analyses with larger numbers of subjects are needed (as well as consideration of behavioral data). Refinements in MS and data analysis are ongoing, allowing for the possibility that future studies examining body fluids and specimens from ASD subjects could continue to yield novel insights. This review summarizes MS investigations that have been conducted to study ASD to date and provides insight into future promising applications for this technique, with focus on proteomic studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 8 16%
Student > Bachelor 7 14%
Student > Master 6 12%
Student > Postgraduate 3 6%
Other 10 20%
Unknown 4 8%
Readers by discipline Count As %
Medicine and Dentistry 14 28%
Chemistry 7 14%
Agricultural and Biological Sciences 7 14%
Biochemistry, Genetics and Molecular Biology 4 8%
Psychology 3 6%
Other 10 20%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 April 2015.
All research outputs
#2,452,281
of 25,654,806 outputs
Outputs from Journal of Molecular Psychiatry
#9
of 31 outputs
Outputs of similar age
#20,262
of 209,226 outputs
Outputs of similar age from Journal of Molecular Psychiatry
#3
of 9 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 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one scored the same or higher as 22 of them.
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 209,226 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 90% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.