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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis
|
|---|---|
| Published in |
PLOS Medicine, June 2020
|
| DOI | 10.1371/journal.pmed.1003132 |
| Pubmed ID | |
| Authors |
Matthew Dapas, Frederick T. J. Lin, Girish N. Nadkarni, Ryan Sisk, Richard S. Legro, Margrit Urbanek, M. Geoffrey Hayes, Andrea Dunaif |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 28% |
| Mexico | 3 | 12% |
| New Zealand | 2 | 8% |
| France | 2 | 8% |
| Spain | 1 | 4% |
| Argentina | 1 | 4% |
| Unknown | 9 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 76% |
| Scientists | 4 | 16% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 11% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 15 | 10% |
| Researcher | 8 | 5% |
| Other | 5 | 3% |
| Other | 17 | 12% |
| Unknown | 70 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 18% |
| Medicine and Dentistry | 21 | 14% |
| Nursing and Health Professions | 7 | 5% |
| Engineering | 4 | 3% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 13 | 9% |
| Unknown | 72 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 150. 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 17 January 2024.
All research outputs
#274,704
of 25,387,668 outputs
Outputs from PLOS Medicine
#510
of 5,161 outputs
Outputs of similar age
#8,995
of 434,422 outputs
Outputs of similar age from PLOS Medicine
#15
of 87 outputs
Altmetric has tracked 25,387,668 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 5,161 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 77.7. 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 434,422 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 97% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.