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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transmission Selects for HIV-1 Strains of Intermediate Virulence: A Modelling Approach
|
|---|---|
| Published in |
PLoS Computational Biology, October 2011
|
| DOI | 10.1371/journal.pcbi.1002185 |
| Pubmed ID | |
| Authors |
George Shirreff, Lorenzo Pellis, Oliver Laeyendecker, Christophe Fraser |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 56 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 9 | 15% |
| Professor | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 12 | 20% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 32% |
| Medicine and Dentistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Mathematics | 4 | 7% |
| Immunology and Microbiology | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 12 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 January 2021.
All research outputs
#7,975,082
of 25,411,814 outputs
Outputs from PLoS Computational Biology
#5,302
of 8,976 outputs
Outputs of similar age
#46,624
of 148,267 outputs
Outputs of similar age from PLoS Computational Biology
#49
of 120 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 148,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 120 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 58% of its contemporaries.