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Mitochondrial Disease in Autism Spectrum Disorder Patients: A Cohort Analysis

Overview of attention for article published in PLOS ONE, November 2008
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
20 X users
facebook
19 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
211 Dimensions

Readers on

mendeley
192 Mendeley
citeulike
6 CiteULike
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Title
Mitochondrial Disease in Autism Spectrum Disorder Patients: A Cohort Analysis
Published in
PLOS ONE, November 2008
DOI 10.1371/journal.pone.0003815
Pubmed ID
Authors

Jacqueline R. Weissman, Richard I. Kelley, Margaret L. Bauman, Bruce H. Cohen, Katherine F. Murray, Rebecca L. Mitchell, Rebecca L. Kern, Marvin R. Natowicz

Abstract

Previous reports indicate an association between autism spectrum disorders (ASD) and disorders of mitochondrial oxidative phosphorylation. One study suggested that children with both diagnoses are clinically indistinguishable from children with idiopathic autism. There are, however, no detailed analyses of the clinical and laboratory findings in a large cohort of these children. Therefore, we undertook a comprehensive review of patients with ASD and a mitochondrial disorder.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
India 2 1%
Germany 1 <1%
Australia 1 <1%
Italy 1 <1%
Japan 1 <1%
Latvia 1 <1%
Unknown 179 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 15%
Student > Master 24 13%
Researcher 18 9%
Professor > Associate Professor 15 8%
Other 15 8%
Other 48 25%
Unknown 44 23%
Readers by discipline Count As %
Medicine and Dentistry 36 19%
Biochemistry, Genetics and Molecular Biology 29 15%
Agricultural and Biological Sciences 27 14%
Neuroscience 20 10%
Psychology 15 8%
Other 17 9%
Unknown 48 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 08 December 2019.
All research outputs
#1,272,024
of 23,342,092 outputs
Outputs from PLOS ONE
#16,657
of 199,597 outputs
Outputs of similar age
#4,822
of 167,381 outputs
Outputs of similar age from PLOS ONE
#49
of 446 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 199,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 91% 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 167,381 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 446 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.