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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why epistasis is important for tackling complex human disease genetics
|
|---|---|
| Published in |
Genome Medicine, June 2014
|
| DOI | 10.1186/gm561 |
| Pubmed ID | |
| Authors |
Trudy FC Mackay, Jason H Moore |
| Abstract |
Epistasis has been dismissed by some as having little role in the genetic architecture of complex human disease. The authors argue that this view is the result of a misconception and explain why exploring epistasis is likely to be crucial to understanding and predicting complex disease. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 6 | 25% |
| United Kingdom | 5 | 21% |
| South Africa | 1 | 4% |
| Switzerland | 1 | 4% |
| Canada | 1 | 4% |
| Brazil | 1 | 4% |
| Japan | 1 | 4% |
| Ireland | 1 | 4% |
| Sweden | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 50% |
| Members of the public | 10 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Denmark | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Unknown | 137 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 30% |
| Researcher | 21 | 15% |
| Student > Master | 21 | 15% |
| Student > Bachelor | 13 | 9% |
| Professor > Associate Professor | 8 | 6% |
| Other | 20 | 14% |
| Unknown | 17 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 37% |
| Biochemistry, Genetics and Molecular Biology | 27 | 19% |
| Computer Science | 13 | 9% |
| Medicine and Dentistry | 11 | 8% |
| Engineering | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 22 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 04 February 2020.
All research outputs
#2,696,077
of 25,374,917 outputs
Outputs from Genome Medicine
#614
of 1,585 outputs
Outputs of similar age
#26,332
of 243,428 outputs
Outputs of similar age from Genome Medicine
#8
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 61% 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 243,428 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 89% of its contemporaries.
We're also able to compare this research output to 22 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 63% of its contemporaries.