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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Uncovering steroidopathy in women with autism: a latent class analysis
|
|---|---|
| Published in |
Molecular Autism, April 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. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 11% |
| United States | 1 | 11% |
| Canada | 1 | 11% |
| France | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 14% |
| Student > Master | 17 | 13% |
| Researcher | 15 | 12% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Doctoral Student | 9 | 7% |
| Other | 27 | 21% |
| Unknown | 26 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 26% |
| Psychology | 30 | 24% |
| Agricultural and Biological Sciences | 7 | 6% |
| Social Sciences | 6 | 5% |
| Neuroscience | 6 | 5% |
| Other | 15 | 12% |
| Unknown | 30 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 February 2023.
All research outputs
#1,531,827
of 25,654,806 outputs
Outputs from Molecular Autism
#149
of 722 outputs
Outputs of similar age
#15,023
of 241,937 outputs
Outputs of similar age from Molecular Autism
#2
of 18 outputs
Altmetric has tracked 25,654,806 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 722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. 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 241,937 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 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.