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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Replication of association of DENND1A and THADA variants with polycystic ovary syndrome in European cohorts
|
|---|---|
| Published in |
Journal of Medical Genetics, December 2011
|
| DOI | 10.1136/jmedgenet-2011-100427 |
| Pubmed ID | |
| Authors |
Mark O Goodarzi, Michelle R Jones, Xiaohui Li, Angela K Chua, Obed A Garcia, Yii-Der I Chen, Ronald M Krauss, Jerome I Rotter, Wendy Ankener, Richard S Legro, Ricardo Azziz, Jerome F Strauss, Andrea Dunaif, Margrit Urbanek |
| Abstract |
Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with a strong familial component. PCOS is characterised by hyperandrogenaemia and irregular menses. A recent genome-wide association study (GWAS) of PCOS in a Chinese cohort identified three reproducible PCOS susceptibility loci mapping to 2p16.3 (luteinising hormone/choriogonadotropin receptor; LHCGR), 2p21 (thyroid associated protein; THADA), and 9q33.3 (DENN/MADD domain containing 1A; DENNDIA). The impact of these loci in non-Chinese PCOS cohorts remains to be determined. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Ukraine | 1 | <1% |
| Unknown | 101 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Student > Bachelor | 16 | 16% |
| Student > Master | 13 | 13% |
| Student > Doctoral Student | 9 | 9% |
| Researcher | 8 | 8% |
| Other | 15 | 15% |
| Unknown | 24 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 33% |
| Biochemistry, Genetics and Molecular Biology | 22 | 21% |
| Agricultural and Biological Sciences | 11 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 22 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 July 2020.
All research outputs
#6,909,831
of 22,659,164 outputs
Outputs from Journal of Medical Genetics
#1,404
of 2,912 outputs
Outputs of similar age
#58,838
of 226,109 outputs
Outputs of similar age from Journal of Medical Genetics
#18
of 23 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,912 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 50% 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 226,109 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.