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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GWGGI: software for genome-wide gene-gene interaction analysis
|
|---|---|
| Published in |
BMC Genomic Data, October 2014
|
| DOI | 10.1186/s12863-014-0101-z |
| Pubmed ID | |
| Authors |
Changshuai Wei, Qing Lu |
| Abstract |
While the importance of gene-gene interactions in human diseases has been well recognized, identifying them has been a great challenge, especially through association studies with millions of genetic markers and thousands of individuals. Computationally efficient and powerful tools are in great need for the identification of new gene-gene interactions in high-dimensional association studies. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 27% |
| El Salvador | 2 | 18% |
| United Kingdom | 1 | 9% |
| Norway | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Researcher | 7 | 21% |
| Student > Master | 7 | 21% |
| Student > Bachelor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Agricultural and Biological Sciences | 8 | 24% |
| Computer Science | 6 | 18% |
| Mathematics | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 07 May 2015.
All research outputs
#2,367,281
of 25,373,627 outputs
Outputs from BMC Genomic Data
#59
of 1,204 outputs
Outputs of similar age
#26,311
of 268,223 outputs
Outputs of similar age from BMC Genomic Data
#1
of 29 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 268,223 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.