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Response to ‘Predicting the diagnosis of autism spectrum disorder using gene pathway analysis’

Overview of attention for article published in Molecular Psychiatry, October 2013
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
91 X users
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
95 Mendeley
citeulike
4 CiteULike
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Title
Response to ‘Predicting the diagnosis of autism spectrum disorder using gene pathway analysis’
Published in
Molecular Psychiatry, October 2013
DOI 10.1038/mp.2013.125
Pubmed ID
Authors

E B Robinson, D Howrigan, J Yang, S Ripke, V Anttila, L E Duncan, L Jostins, J C Barrett, S E Medland, D G MacArthur, G Breen, M C O'Donovan, N R Wray, B Devlin, M J Daly, P M Visscher, P F Sullivan, B M Neale

X Demographics

X Demographics

The data shown below were collected from the profiles of 91 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
Netherlands 2 2%
United States 2 2%
Iceland 1 1%
Canada 1 1%
Unknown 85 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 23%
Researcher 22 23%
Student > Doctoral Student 7 7%
Professor 5 5%
Student > Postgraduate 5 5%
Other 15 16%
Unknown 19 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 26%
Medicine and Dentistry 12 13%
Psychology 11 12%
Biochemistry, Genetics and Molecular Biology 9 9%
Neuroscience 6 6%
Other 16 17%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 27 November 2019.
All research outputs
#498,512
of 25,753,578 outputs
Outputs from Molecular Psychiatry
#451
of 4,665 outputs
Outputs of similar age
#3,947
of 225,686 outputs
Outputs of similar age from Molecular Psychiatry
#3
of 42 outputs
Altmetric has tracked 25,753,578 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 4,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 90% 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 225,686 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 42 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 92% of its contemporaries.