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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-s7-s2 |
| Pubmed ID | |
| Authors |
Jittima Piriyapongsa, Chumpol Ngamphiw, Apichart Intarapanich, Supasak Kulawonganunchai, Anunchai Assawamakin, Chaiwat Bootchai, Philip J Shaw, Sissades Tongsima |
| Abstract |
Genome-wide association studies (GWAS) do not provide a full account of the heritability of genetic diseases since gene-gene interactions, also known as epistasis are not considered in single locus GWAS. To address this problem, a considerable number of methods have been developed for identifying disease-associated gene-gene interactions. However, these methods typically fail to identify interacting markers explaining more of the disease heritability over single locus GWAS, since many of the interactions significant for disease are obscured by uninformative marker interactions e.g., linkage disequilibrium (LD). |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 48 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 35% |
| Researcher | 9 | 17% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Other | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 33% |
| Biochemistry, Genetics and Molecular Biology | 12 | 23% |
| Computer Science | 6 | 12% |
| Engineering | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 2 | 4% |
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 26 March 2024.
All research outputs
#6,462,843
of 23,770,218 outputs
Outputs from BMC Genomics
#2,695
of 10,807 outputs
Outputs of similar age
#66,005
of 283,624 outputs
Outputs of similar age from BMC Genomics
#107
of 376 outputs
Altmetric has tracked 23,770,218 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,807 research outputs from this source. They receive a mean Attention Score of 4.7. 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 283,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 376 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 69% of its contemporaries.