| Title |
Sex Bias in Infectious Disease Epidemiology: Patterns and Processes
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0062390 |
| Pubmed ID | |
| Authors |
Felipe Guerra-Silveira, Fernando Abad-Franch |
| Abstract |
Infectious disease incidence is often male-biased. Two main hypotheses have been proposed to explain this observation. The physiological hypothesis (PH) emphasizes differences in sex hormones and genetic architecture, while the behavioral hypothesis (BH) stresses gender-related differences in exposure. Surprisingly, the population-level predictions of these hypotheses are yet to be thoroughly tested in humans. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 10% |
| Ecuador | 1 | 10% |
| United Kingdom | 1 | 10% |
| Ireland | 1 | 10% |
| India | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 413 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | <1% |
| Colombia | 1 | <1% |
| Vietnam | 1 | <1% |
| Mozambique | 1 | <1% |
| United Kingdom | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Unknown | 404 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 69 | 17% |
| Researcher | 60 | 15% |
| Student > Bachelor | 57 | 14% |
| Student > Ph. D. Student | 50 | 12% |
| Student > Doctoral Student | 25 | 6% |
| Other | 68 | 16% |
| Unknown | 84 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 87 | 21% |
| Agricultural and Biological Sciences | 67 | 16% |
| Biochemistry, Genetics and Molecular Biology | 35 | 8% |
| Veterinary Science and Veterinary Medicine | 21 | 5% |
| Immunology and Microbiology | 21 | 5% |
| Other | 77 | 19% |
| Unknown | 105 | 25% |