| Title |
GEIRA: gene-environment and gene–gene interaction research application
|
|---|---|
| Published in |
European Journal of Epidemiology, April 2011
|
| DOI | 10.1007/s10654-011-9582-5 |
| Pubmed ID | |
| Authors |
Bo Ding, Henrik Källberg, Lars Klareskog, Leonid Padyukov, Lars Alfredsson |
| Abstract |
The GEIRA (Gene-Environment and Gene-Gene Interaction Research Application) algorithm and subsequent program is dedicated to genome-wide gene-environment and gene-gene interaction analysis. It implements concepts of both additive and multiplicative interaction as well as calculations based on dominant, recessive and co-dominant genetic models, respectively. Estimates of interactions are incorporated in a single table to make the output easily read. The algorithm is coded in both SAS and R. GEIRA is freely available to non-commercial users at http://www.epinet.se. Additional information, including user's manual and example datasets is available online at http://www.epinet.se. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 7% |
| United States | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 26 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 6 | 20% |
| Other | 3 | 10% |
| Professor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 7 | 23% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 40% |
| Agricultural and Biological Sciences | 5 | 17% |
| Computer Science | 4 | 13% |
| Mathematics | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 April 2011.
All research outputs
#5,625,137
of 22,709,015 outputs
Outputs from European Journal of Epidemiology
#605
of 1,614 outputs
Outputs of similar age
#31,290
of 109,994 outputs
Outputs of similar age from European Journal of Epidemiology
#12
of 19 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,614 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has gotten more attention than average, scoring higher than 62% 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 109,994 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 71% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.