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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling Latently Infected Cell Activation: Viral and Latent Reservoir Persistence, and Viral Blips in HIV-infected Patients on Potent Therapy
|
|---|---|
| Published in |
PLoS Computational Biology, October 2009
|
| DOI | 10.1371/journal.pcbi.1000533 |
| Pubmed ID | |
| Authors |
Libin Rong, Alan S. Perelson |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 2 | 1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| South Africa | 1 | <1% |
| Australia | 1 | <1% |
| Nigeria | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 129 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 22% |
| Student > Ph. D. Student | 28 | 19% |
| Professor | 14 | 10% |
| Student > Master | 13 | 9% |
| Other | 10 | 7% |
| Other | 36 | 25% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 26% |
| Medicine and Dentistry | 29 | 20% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Immunology and Microbiology | 12 | 8% |
| Mathematics | 12 | 8% |
| Other | 24 | 17% |
| Unknown | 17 | 12% |
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 24 April 2022.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#8,208
of 8,960 outputs
Outputs of similar age
#97,441
of 106,168 outputs
Outputs of similar age from PLoS Computational Biology
#44
of 51 outputs
Altmetric has tracked 25,374,917 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 8,960 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 106,168 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 51 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.