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Mendeley readers
Attention Score in Context
| Title |
CER1gene variations associated with bone mineral density, bone markers, and early menopause in postmenopausal women
|
|---|---|
| Published in |
Human Genomics, October 2013
|
| DOI | 10.1186/1479-7364-7-21 |
| Pubmed ID | |
| Authors |
Theodora Koromila, Panagiotis Georgoulias, Zoe Dailiana, Evangelia E Ntzani, Stavroula Samara, Chris Chassanidis, Vassiliki Aleporou-Marinou, Panagoula Kollia |
| Abstract |
Osteoporosis has a multifactorial pathogenesis characterized by a combination of low bone mass and increased fragility. In our study, we focused on the effects of polymorphisms in CER1 and DKK1 genes, recently reported as important susceptibility genes for osteoporosis, on bone mineral density (BMD) and bone markers in osteoporotic women. Our objective was to evaluate the effect of CER1 and DKK1 variations in 607 postmenopausal women. The entire DKK1 gene sequence and five selected CER1 SNPs were amplified and resequenced to assess whether there is a correlation between these genes and BMD, early menopause, and bone turnover markers in osteoporotic patients. |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 5 | 14% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 23% |
| Agricultural and Biological Sciences | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Nursing and Health Professions | 2 | 6% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 34% |
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 21 October 2013.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Human Genomics
#463
of 564 outputs
Outputs of similar age
#169,751
of 224,555 outputs
Outputs of similar age from Human Genomics
#5
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 7th percentile – i.e., 7% 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 224,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.