| Title |
Differences in ovarian aging patterns between races are associated with ovarian genotypes and sub-genotypes of the FMR1gene
|
|---|---|
| Published in |
Reproductive Biology and Endocrinology, September 2012
|
| DOI | 10.1186/1477-7827-10-77 |
| Pubmed ID | |
| Authors |
Norbert Gleicher, Ann Kim, Andrea Weghofer, David H Barad |
| Abstract |
Ovarian aging patterns differ between races, and appear to affect fertility treatment outcomes. What causes these differences is, however, unknown. Variations in ovarian aging patterns have recently been associated with specific ovarian genotypes and sub-genotypes of the FMR1 gene. We, therefore, attempted to determine differences in how functional ovarian reserve (FOR) changes with advancing age between races, and whether changes are associated with differences in distribution of ovarian genotypes and sub-genotypes of the FMR1 gene. |
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 % |
|---|---|---|
| United States | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Researcher | 7 | 19% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 31% |
| Agricultural and Biological Sciences | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 5 | 14% |
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 16 April 2013.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Reproductive Biology and Endocrinology
#999
of 1,134 outputs
Outputs of similar age
#168,098
of 186,807 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#11
of 12 outputs
Altmetric has tracked 25,371,288 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 1,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. 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 186,807 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 12 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.