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X Demographics
Mendeley readers
Title |
The genetics of infectious disease susceptibility: has the evidence for epistasis been overestimated?
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Published in |
BMC Biology, July 2013
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DOI | 10.1186/1741-7007-11-79 |
Pubmed ID | |
Authors |
Matthew D Hall, Dieter Ebert |
Abstract |
Interactions amongst genes, known as epistasis, are assumed to make a substantial contribution to the genetic variation in infectious disease susceptibility, but this claim is controversial. Here, we focus on the debate surrounding the evolutionary importance of interactions between resistance loci and argue that its role in explaining overall variance in disease outcomes may have been overestimated. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 5 | 20% |
United Kingdom | 5 | 20% |
Spain | 2 | 8% |
Australia | 2 | 8% |
Mexico | 1 | 4% |
Ethiopia | 1 | 4% |
Unknown | 9 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 64% |
Scientists | 4 | 16% |
Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 2 | 2% |
United States | 2 | 2% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
India | 1 | <1% |
Russia | 1 | <1% |
Poland | 1 | <1% |
Unknown | 94 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 26% |
Researcher | 22 | 21% |
Student > Master | 14 | 14% |
Professor | 8 | 8% |
Professor > Associate Professor | 6 | 6% |
Other | 14 | 14% |
Unknown | 12 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 65 | 63% |
Biochemistry, Genetics and Molecular Biology | 9 | 9% |
Computer Science | 4 | 4% |
Medicine and Dentistry | 3 | 3% |
Immunology and Microbiology | 2 | 2% |
Other | 7 | 7% |
Unknown | 13 | 13% |