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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GWIS - model-free, fast and exhaustive search for epistatic interactions in case-control GWAS
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-s3-s10 |
| Pubmed ID | |
| Authors |
Benjamin Goudey, David Rawlinson, Qiao Wang, Fan Shi, Herman Ferra, Richard M Campbell, Linda Stern, Michael T Inouye, Cheng Soon Ong, Adam Kowalczyk |
| Abstract |
It has been hypothesized that multivariate analysis and systematic detection of epistatic interactions between explanatory genotyping variables may help resolve the problem of "missing heritability" currently observed in genome-wide association studies (GWAS). However, even the simplest bivariate analysis is still held back by significant statistical and computational challenges that are often addressed by reducing the set of analysed markers. Theoretically, it has been shown that combinations of loci may exist that show weak or no effects individually, but show significant (even complete) explanatory power over phenotype when combined. Reducing the set of analysed SNPs before bivariate analysis could easily omit such critical loci. |
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 % |
|---|---|---|
| Australia | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| United States | 3 | 3% |
| Australia | 2 | 2% |
| Switzerland | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Spain | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 86 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 32% |
| Researcher | 22 | 22% |
| Student > Master | 15 | 15% |
| Professor | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 34% |
| Computer Science | 30 | 29% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Mathematics | 5 | 5% |
| Engineering | 5 | 5% |
| Other | 7 | 7% |
| Unknown | 8 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 September 2014.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from BMC Genomics
#2,828
of 11,244 outputs
Outputs of similar age
#56,504
of 207,615 outputs
Outputs of similar age from BMC Genomics
#49
of 176 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 207,615 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.