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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurately Measuring Recombination between Closely Related HIV-1 Genomes
|
|---|---|
| Published in |
PLoS Computational Biology, April 2010
|
| DOI | 10.1371/journal.pcbi.1000766 |
| Pubmed ID | |
| Authors |
Timothy E. Schlub, Redmond P. Smyth, Andrew J. Grimm, Johnson Mak, Miles P. Davenport |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Brazil | 1 | 2% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 58 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 31% |
| Researcher | 18 | 28% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 38% |
| Biochemistry, Genetics and Molecular Biology | 18 | 28% |
| Immunology and Microbiology | 5 | 8% |
| Medicine and Dentistry | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 7 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2022.
All research outputs
#21,011,157
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#8,282
of 9,043 outputs
Outputs of similar age
#96,079
of 105,808 outputs
Outputs of similar age from PLoS Computational Biology
#45
of 50 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,043 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 4th percentile – i.e., 4% 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 105,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.