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Synonymous Substitution Rates Predict HIV Disease Progression as a Result of Underlying Replication Dynamics

Overview of attention for article published in PLoS Computational Biology, February 2007
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Title
Synonymous Substitution Rates Predict HIV Disease Progression as a Result of Underlying Replication Dynamics
Published in
PLoS Computational Biology, February 2007
DOI 10.1371/journal.pcbi.0030029
Pubmed ID
Authors

Philippe Lemey, Sergei L Kosakovsky Pond, Alexei J Drummond, Oliver G Pybus, Beth Shapiro, Helena Barroso, Nuno Taveira, Andrew Rambaut

Abstract

Upon HIV transmission, some patients develop AIDS in only a few months, while others remain disease free for 20 or more years. This variation in the rate of disease progression is poorly understood and has been attributed to host genetics, host immune responses, co-infection, viral genetics, and adaptation. Here, we develop a new "relaxed-clock" phylogenetic method to estimate absolute rates of synonymous and nonsynonymous substitution through time. We identify an unexpected association between the synonymous substitution rate of HIV and disease progression parameters. Since immune activation is the major determinant of HIV disease progression, we propose that this process can also determine viral generation times, by creating favourable conditions for HIV replication. These conclusions may apply more generally to HIV evolution, since we also observed an overall low synonymous substitution rate for HIV-2, which is known to be less pathogenic than HIV-1 and capable of tempering the detrimental effects of immune activation. Humoral immune responses, on the other hand, are the major determinant of nonsynonymous rate changes through time in the envelope gene, and our relaxed-clock estimates support a decrease in selective pressure as a consequence of immune system collapse.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 3 2%
Chile 2 1%
Brazil 2 1%
France 1 <1%
Sweden 1 <1%
South Africa 1 <1%
India 1 <1%
Kenya 1 <1%
Other 4 2%
Unknown 159 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 28%
Student > Ph. D. Student 47 26%
Student > Master 17 9%
Professor 14 8%
Professor > Associate Professor 13 7%
Other 28 16%
Unknown 11 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 52%
Biochemistry, Genetics and Molecular Biology 24 13%
Medicine and Dentistry 9 5%
Immunology and Microbiology 8 4%
Computer Science 7 4%
Other 17 9%
Unknown 21 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 March 2013.
All research outputs
#8,713,411
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#5,683
of 9,043 outputs
Outputs of similar age
#33,530
of 93,364 outputs
Outputs of similar age from PLoS Computational Biology
#17
of 23 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 33rd percentile – i.e., 33% 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 93,364 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.