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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing genetic interactions in human disease association studies using statistical epistasis networks
|
|---|---|
| Published in |
BMC Bioinformatics, September 2011
|
| DOI | 10.1186/1471-2105-12-364 |
| Pubmed ID | |
| Authors |
Ting Hu, Nicholas A Sinnott-Armstrong, Jeff W Kiralis, Angeline S Andrew, Margaret R Karagas, Jason H Moore |
| Abstract |
Epistasis is recognized ubiquitous in the genetic architecture of complex traits such as disease susceptibility. Experimental studies in model organisms have revealed extensive evidence of biological interactions among genes. Meanwhile, statistical and computational studies in human populations have suggested non-additive effects of genetic variation on complex traits. Although these studies form a baseline for understanding the genetic architecture of complex traits, to date they have only considered interactions among a small number of genetic variants. Our goal here is to use network science to determine the extent to which non-additive interactions exist beyond small subsets of genetic variants. We infer statistical epistasis networks to characterize the global space of pairwise interactions among approximately 1500 Single Nucleotide Polymorphisms (SNPs) spanning nearly 500 cancer susceptibility genes in a large population-based study of bladder cancer. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
| France | 1 | 6% |
| Germany | 1 | 6% |
| Argentina | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 56% |
| Members of the public | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 3% |
| United States | 4 | 3% |
| United Kingdom | 3 | 2% |
| Switzerland | 2 | 2% |
| Norway | 1 | <1% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 108 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 35% |
| Researcher | 29 | 23% |
| Student > Master | 13 | 10% |
| Professor > Associate Professor | 12 | 9% |
| Professor | 5 | 4% |
| Other | 13 | 10% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 41% |
| Computer Science | 24 | 19% |
| Biochemistry, Genetics and Molecular Biology | 13 | 10% |
| Medicine and Dentistry | 10 | 8% |
| Mathematics | 7 | 5% |
| Other | 7 | 5% |
| Unknown | 14 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2019.
All research outputs
#4,593,409
of 25,621,213 outputs
Outputs from BMC Bioinformatics
#1,574
of 7,730 outputs
Outputs of similar age
#24,296
of 137,453 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 88 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,730 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 79% 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 137,453 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 82% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.