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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying the Important HIV-1 Recombination Breakpoints
|
|---|---|
| Published in |
PLoS Computational Biology, September 2008
|
| DOI | 10.1371/journal.pcbi.1000178 |
| Pubmed ID | |
| Authors |
John Archer, John W. Pinney, Jun Fan, Etienne Simon-Loriere, Eric J. Arts, Matteo Negroni, David L. Robertson |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| France | 1 | 1% |
| South Africa | 1 | 1% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 69 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 12 | 15% |
| Professor > Associate Professor | 11 | 14% |
| Student > Bachelor | 11 | 14% |
| Student > Master | 9 | 12% |
| Other | 16 | 21% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 45% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Computer Science | 5 | 6% |
| Medicine and Dentistry | 4 | 5% |
| Immunology and Microbiology | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 8 | 10% |
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 25 March 2019.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,211
of 8,964 outputs
Outputs of similar age
#91,393
of 98,726 outputs
Outputs of similar age from PLoS Computational Biology
#36
of 42 outputs
Altmetric has tracked 25,394,764 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 8,964 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 98,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.