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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association of glucocorticoid receptor polymorphisms with clinical and metabolic profiles in polycystic ovary syndrome
|
|---|---|
| Published in |
Clinics, March 2014
|
| DOI | 10.6061/clinics/2014(03)06 |
| Pubmed ID | |
| Authors |
Gustavo A Rosa Maciel, Ricardo P P Moreira, Diogo D G Bugano, Sylvia A Y Hayashida, José A M Marcondes, Larissa G Gomes, Berenice B Mendonça, Tânia A S S Bachega, Edmund C Baracat |
| Abstract |
We aimed to investigate whether glucocorticoid receptor gene polymorphisms are associated with clinical and metabolic profiles in patients with polycystic ovary syndrome. Polycystic ovary syndrome is a complex endocrine disease that affects 5-8% of women and may be associated with metabolic syndrome, which is a risk factor for cardiovascular disease. Cortisol action and dysregulation account for metabolic syndrome development in the general population. As glucocorticoid receptor gene (NR3C1) polymorphisms regulate cortisol sensitivity, we hypothesized that variants of this gene may be involved in the adverse metabolic profiles of patients with polycystic ovary syndrome. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 25% |
| Student > Master | 8 | 13% |
| Student > Ph. D. Student | 6 | 10% |
| Unspecified | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 17 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 18% |
| Nursing and Health Professions | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Agricultural and Biological Sciences | 5 | 8% |
| Unspecified | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 19 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 March 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Clinics
#1,001
of 1,215 outputs
Outputs of similar age
#206,408
of 236,361 outputs
Outputs of similar age from Clinics
#15
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 236,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.