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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recent methods for polygenic analysis of genome-wide data implicate an important effect of common variants on cardiovascular disease risk
|
|---|---|
| Published in |
BMC Medical Genomics, October 2011
|
| DOI | 10.1186/1471-2350-12-146 |
| Pubmed ID | |
| Authors |
Matthew A Simonson, Amanda G Wills, Matthew C Keller, Matthew B McQueen |
| Abstract |
Traditional genome-wide association studies are generally limited in their ability explain a large portion of genetic risk for most common diseases. We sought to use both traditional GWAS methods, as well as more recently developed polygenic genome-wide analysis techniques to identify subsets of single-nucleotide polymorphisms (SNPs) that may be involved in risk of cardiovascular disease, as well as estimate the heritability explained by common SNPs. |
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 % |
|---|---|---|
| Unknown | 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| Hong Kong | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 106 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 25% |
| Researcher | 25 | 22% |
| Student > Bachelor | 14 | 12% |
| Student > Master | 12 | 11% |
| Student > Doctoral Student | 9 | 8% |
| Other | 13 | 11% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 28% |
| Medicine and Dentistry | 21 | 18% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Psychology | 9 | 8% |
| Neuroscience | 5 | 4% |
| Other | 15 | 13% |
| Unknown | 15 | 13% |
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 31 October 2011.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#105,790
of 152,378 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 32 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% 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 152,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.