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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Variable effect of co-infection on the HIV infectivity: Within-host dynamics and epidemiological significance
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, March 2012
|
| DOI | 10.1186/1742-4682-9-9 |
| Pubmed ID | |
| Authors |
Diego F Cuadros, Gisela García-Ramos |
| Abstract |
Recent studies have implicated viral characteristics in accounting for the variation in the HIV set-point viral load (spVL) observed among individuals. These studies have suggested that the spVL might be a heritable factor. The spVL, however, is not in an absolute equilibrium state; it is frequently perturbed by immune activations generated by co-infections, resulting in a significant amplification of the HIV viral load (VL). Here, we postulated that if the HIV replication capacity were an important determinant of the spVL, it would also determine the effect of co-infection on the VL. Then, we hypothesized that viral factors contribute to the variation of the effect of co-infection and introduce variation among individuals. |
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 % |
|---|---|---|
| Qatar | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Qatar | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 6 | 20% |
| Student > Postgraduate | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 20% |
| Medicine and Dentistry | 5 | 17% |
| Mathematics | 4 | 13% |
| Computer Science | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 6 | 20% |
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 19 March 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from Theoretical Biology and Medical Modelling
#170
of 287 outputs
Outputs of similar age
#101,868
of 159,669 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 7 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 27th percentile – i.e., 27% 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 159,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.