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Attention Score in Context
Title |
SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment
|
---|---|
Published in |
BMC Systems Biology, December 2011
|
DOI | 10.1186/1752-0509-5-s2-s11 |
Pubmed ID | |
Authors |
Jaehoon Lee, Soyeon Ahn, Sohee Oh, Bruce Weir, Taesung Park |
Abstract |
The current genome-wide association (GWA) analysis mainly focuses on the single genetic variant, which may not reveal some the genetic variants that have small individual effects but large joint effects. Considering the multiple SNPs jointly in Genome-wide association (GWA) analysis can increase power. When multiple SNPs are jointly considered, the corresponding SNP-level association measures are likely to be correlated due to the linkage disequilibrium (LD) among 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 % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 9% |
Spain | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 19 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 22% |
Researcher | 4 | 17% |
Student > Postgraduate | 4 | 17% |
Professor > Associate Professor | 3 | 13% |
Student > Doctoral Student | 2 | 9% |
Other | 2 | 9% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 39% |
Agricultural and Biological Sciences | 6 | 26% |
Mathematics | 1 | 4% |
Environmental Science | 1 | 4% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 4 | 17% |
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 20 July 2012.
All research outputs
#18,310,549
of 22,671,366 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#196,421
of 242,523 outputs
Outputs of similar age from BMC Systems Biology
#40
of 50 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 50 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.