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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS
|
|---|---|
| Published in |
BioData Mining, July 2012
|
| DOI | 10.1186/1756-0381-5-9 |
| Pubmed ID | |
| Authors |
Nora Chung Kim, Peter C Andrews, Folkert W Asselbergs, H Robert Frost, Scott M Williams, Brent T Harris, Cynthia Read, Kathleen D Askland, Jason H Moore |
| Abstract |
It is increasingly clear that common human diseases have a complex genetic architecture characterized by both additive and nonadditive genetic effects. The goal of the present study was to determine whether patterns of both additive and nonadditive genetic associations aggregate in specific functional groups as defined by the Gene Ontology (GO). |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| Netherlands | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Turkey | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 42 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 30% |
| Student > Ph. D. Student | 10 | 21% |
| Student > Master | 6 | 13% |
| Professor > Associate Professor | 5 | 11% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 32% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Medicine and Dentistry | 6 | 13% |
| Computer Science | 6 | 13% |
| Engineering | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 8 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 May 2017.
All research outputs
#4,419,230
of 22,671,366 outputs
Outputs from BioData Mining
#103
of 307 outputs
Outputs of similar age
#30,713
of 164,530 outputs
Outputs of similar age from BioData Mining
#3
of 5 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 66% 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 164,530 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 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.