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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDR
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-s9-s5 |
| Pubmed ID | |
| Authors |
Sohee Oh, Jaehoon Lee, Min-Seok Kwon, Bruce Weir, Kyooseob Ha, Taesung Park |
| Abstract |
Because common complex diseases are affected by multiple genes and environmental factors, it is essential to investigate gene-gene and/or gene-environment interactions to understand genetic architecture of complex diseases. After the great success of large scale genome-wide association (GWA) studies using the high density single nucleotide polymorphism (SNP) chips, the study of gene-gene interaction becomes a next challenge. Multifactor dimensionality reduction (MDR) analysis has been widely used for the gene-gene interaction analysis. In practice, however, it is not easy to perform high order gene-gene interaction analyses via MDR in genome-wide level because it requires exploring a huge search space and suffers from a computational burden due to high dimensionality. |
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% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| Uganda | 1 | 1% |
| Moldova, Republic of | 1 | 1% |
| France | 1 | 1% |
| Unknown | 77 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 31% |
| Researcher | 16 | 19% |
| Student > Master | 10 | 12% |
| Student > Postgraduate | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 44% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Computer Science | 9 | 11% |
| Medicine and Dentistry | 7 | 8% |
| Mathematics | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 11 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 June 2012.
All research outputs
#12,739,534
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#3,750
of 7,247 outputs
Outputs of similar age
#89,292
of 167,347 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 107 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 167,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 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 51% of its contemporaries.