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Mendeley readers
Attention Score in Context
| Title |
Genetic variants in adult bone mineral density and fracture risk genes are associated with the rate of bone mineral density acquisition in adolescence
|
|---|---|
| Published in |
Human Molecular Genetics, May 2015
|
| DOI | 10.1093/hmg/ddv143 |
| Pubmed ID | |
| Authors |
N. M. Warrington, J. P. Kemp, K. Tilling, J. H. Tobias, D. M. Evans |
| Abstract |
Previous studies have identified 63 single nucleotide polymorphisms (SNPs) associated with bone mineral density (BMD) in adults. These SNPs are thought to reflect variants that influence bone maintenance and/or loss in adults. It is unclear whether they affect the rate of bone acquisition during adolescence. Bone measurements and genetic data were available on 6,397 individuals from the Avon Longitudinal Study of Parents and Children at up to five follow-up clinics. Linear mixed effects models with smoothing splines were used for longitudinal modelling of BMD and its components bone mineral content (BMC) and bone area (BA), from nine to 17 years. Genotype data from the 63 adult BMD associated SNPs were investigated individually and as a genetic risk score in the longitudinal model. Each additional BMD lowering allele of the genetic risk score was associated with lower BMD at age 13 (per allele effect size, 0.002g/cm(2) [SE=0.0001, P=1.24x10(-38)]) and decreased BMD acquisition from nine to 17 years (P=9.17x10(-7)). This association was driven by changes in BMC rather than BA. The genetic risk score explained approximately 2% of the variation in BMD at nine and 17 years, a third of that explained in adults (6%). Genetic variants that putatively affect bone maintenance and/or loss in adults appear to have a small influence on the rate of bone acquisition through adolescence. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Netherlands | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 24% |
| Agricultural and Biological Sciences | 7 | 17% |
| Medicine and Dentistry | 5 | 12% |
| Nursing and Health Professions | 3 | 7% |
| Materials Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |
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 14 July 2015.
All research outputs
#18,137,447
of 23,301,510 outputs
Outputs from Human Molecular Genetics
#7,151
of 8,067 outputs
Outputs of similar age
#181,350
of 265,483 outputs
Outputs of similar age from Human Molecular Genetics
#87
of 112 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,067 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 9th percentile – i.e., 9% 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 265,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 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.