↓ Skip to main content

DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes

Overview of attention for article published in Molecular Autism, May 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
3 blogs
twitter
12 X users
facebook
3 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
256 Dimensions

Readers on

mendeley
534 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes
Published in
Molecular Autism, May 2013
DOI 10.1186/2040-2392-4-12
Pubmed ID
Authors

Rebecca Grzadzinski, Marisela Huerta, Catherine Lord

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 534 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Netherlands 1 <1%
Malaysia 1 <1%
Canada 1 <1%
South Africa 1 <1%
Unknown 527 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 85 16%
Student > Bachelor 80 15%
Student > Ph. D. Student 69 13%
Researcher 47 9%
Student > Doctoral Student 31 6%
Other 92 17%
Unknown 130 24%
Readers by discipline Count As %
Psychology 139 26%
Medicine and Dentistry 54 10%
Neuroscience 36 7%
Agricultural and Biological Sciences 31 6%
Biochemistry, Genetics and Molecular Biology 29 5%
Other 100 19%
Unknown 145 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 25 June 2023.
All research outputs
#1,230,006
of 25,743,152 outputs
Outputs from Molecular Autism
#112
of 719 outputs
Outputs of similar age
#9,531
of 207,933 outputs
Outputs of similar age from Molecular Autism
#5
of 15 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 84% 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 207,933 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 95% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.