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X Demographics
Mendeley readers
Attention Score in Context
| 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 411 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 | 402 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 69 | 17% |
| Researcher | 60 | 15% |
| Student > Bachelor | 56 | 14% |
| Student > Ph. D. Student | 50 | 12% |
| Student > Doctoral Student | 25 | 6% |
| Other | 66 | 16% |
| Unknown | 85 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 87 | 21% |
| Agricultural and Biological Sciences | 67 | 16% |
| Biochemistry, Genetics and Molecular Biology | 34 | 8% |
| Veterinary Science and Veterinary Medicine | 21 | 5% |
| Immunology and Microbiology | 21 | 5% |
| Other | 75 | 18% |
| Unknown | 106 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 21 September 2020.
All research outputs
#742,861
of 22,709,015 outputs
Outputs from PLOS ONE
#10,390
of 193,901 outputs
Outputs of similar age
#5,698
of 194,080 outputs
Outputs of similar age from PLOS ONE
#215
of 4,967 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 94% 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 194,080 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 4,967 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.