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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci
|
|---|---|
| Published in |
BioData Mining, September 2010
|
| DOI | 10.1186/1756-0381-3-5 |
| Pubmed ID | |
| Authors |
Stephen D Turner, Scott M Dudek, Marylyn D Ritchie |
| Abstract |
Growing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritability in highly studied complex traits has been explained by genetic variation. Non-additive gene-gene interactions, which are not often explored, are thought to be one source of this "missing" heritability. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Belgium | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Canada | 2 | 3% |
| Australia | 1 | 2% |
| Netherlands | 1 | 2% |
| Norway | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 52 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Student > Master | 12 | 20% |
| Researcher | 11 | 18% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 14 | 23% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 34% |
| Computer Science | 18 | 30% |
| Medicine and Dentistry | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Engineering | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 4 | 7% |
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 19 August 2021.
All research outputs
#5,863,618
of 22,725,280 outputs
Outputs from BioData Mining
#122
of 307 outputs
Outputs of similar age
#29,160
of 98,348 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 59% 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 98,348 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 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them