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A macroepigenetic approach to identify factors responsible for the autism epidemic in the United States

Overview of attention for article published in Clinical Epigenetics, April 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 845)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

blogs
1 blog
twitter
57 tweeters
facebook
31 Facebook pages
wikipedia
1 Wikipedia page
googleplus
8 Google+ users
linkedin
1 LinkedIn user
reddit
7 Redditors
video
1 video uploader

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
115 Mendeley
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Title
A macroepigenetic approach to identify factors responsible for the autism epidemic in the United States
Published in
Clinical Epigenetics, April 2012
DOI 10.1186/1868-7083-4-6
Pubmed ID
Authors

Renee Dufault, Walter J Lukiw, Raquel Crider, Roseanne Schnoll, David Wallinga, Richard Deth

Abstract

The number of children ages 6 to 21 in the United States receiving special education services under the autism disability category increased 91% between 2005 to 2010 while the number of children receiving special education services overall declined by 5%. The demand for special education services continues to rise in disability categories associated with pervasive developmental disorders. Neurodevelopment can be adversely impacted when gene expression is altered by dietary transcription factors, such as zinc insufficiency or deficiency, or by exposure to toxic substances found in our environment, such as mercury or organophosphate pesticides. Gene expression patterns differ geographically between populations and within populations. Gene variants of paraoxonase-1 are associated with autism in North America, but not in Italy, indicating regional specificity in gene-environment interactions. In the current review, we utilize a novel macroepigenetic approach to compare variations in diet and toxic substance exposure between these two geographical populations to determine the likely factors responsible for the autism epidemic in the United States.

Twitter Demographics

The data shown below were collected from the profiles of 57 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Israel 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
France 1 <1%
Unknown 104 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Researcher 20 17%
Student > Master 16 14%
Other 14 12%
Student > Bachelor 10 9%
Other 26 23%
Unknown 8 7%
Readers by discipline Count As %
Medicine and Dentistry 30 26%
Agricultural and Biological Sciences 23 20%
Psychology 10 9%
Social Sciences 8 7%
Environmental Science 6 5%
Other 23 20%
Unknown 15 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 11 September 2020.
All research outputs
#277,605
of 15,922,434 outputs
Outputs from Clinical Epigenetics
#7
of 845 outputs
Outputs of similar age
#1,524
of 126,544 outputs
Outputs of similar age from Clinical Epigenetics
#1
of 2 outputs
Altmetric has tracked 15,922,434 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 845 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 126,544 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 98% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them