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Uncovering steroidopathy in women with autism: a latent class analysis

Overview of attention for article published in Molecular Autism, January 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
3 blogs
twitter
8 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
112 Mendeley
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Title
Uncovering steroidopathy in women with autism: a latent class analysis
Published in
Molecular Autism, January 2014
DOI 10.1186/2040-2392-5-27
Pubmed ID
Authors

Alexa Pohl, Sarah Cassidy, Bonnie Auyeung, Simon Baron-Cohen

Abstract

Prenatal exposure to increased androgens has been implicated in both polycystic ovary syndrome (PCOS) and autism spectrum conditions (ASC), suggesting that PCOS may be increased among women with ASC. One study suggested elevated steroidopathic symptoms ('steroidopathy') in women with ASC. As the symptoms are not independent, we conducted a latent class analysis (LCA). The objectives of the current study are: (1) to test if these findings replicate in a larger sample; and (2) to use LCA to uncover affected clusters of women with ASC.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 15%
Student > Master 17 15%
Researcher 15 13%
Student > Ph. D. Student 13 12%
Student > Postgraduate 8 7%
Other 26 23%
Unknown 16 14%
Readers by discipline Count As %
Medicine and Dentistry 33 29%
Psychology 28 25%
Agricultural and Biological Sciences 7 6%
Neuroscience 6 5%
Social Sciences 6 5%
Other 13 12%
Unknown 19 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 October 2020.
All research outputs
#1,003,672
of 17,520,458 outputs
Outputs from Molecular Autism
#118
of 575 outputs
Outputs of similar age
#12,713
of 198,814 outputs
Outputs of similar age from Molecular Autism
#1
of 10 outputs
Altmetric has tracked 17,520,458 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 575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has done well, scoring higher than 79% 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 198,814 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 93% of its contemporaries.
We're also able to compare this research output to 10 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