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Relaxation of Adaptive Evolution during the HIV-1 Infection Owing to Reduction of CD4+ T Cell Counts

Overview of attention for article published in PLOS ONE, June 2012
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Title
Relaxation of Adaptive Evolution during the HIV-1 Infection Owing to Reduction of CD4+ T Cell Counts
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039776
Pubmed ID
Authors

Élcio Leal, Jorge Casseb, Michael Hendry, Michael P. Busch, Ricardo Sobhie Diaz

Abstract

The first stages of HIV-1 infection are essential to establish the diversity of virus population within host. It has been suggested that adaptation to host cells and antibody evasion are the leading forces driving HIV evolution at the initial stages of AIDS infection. In order to gain more insights on adaptive HIV-1 evolution, the genetic diversity was evaluated during the infection time in individuals contaminated by the same viral source in an epidemic cluster. Multiple sequences of V3 loop region of the HIV-1 were serially sampled from four individuals: comprising a single blood donor, two blood recipients, and another sexually infected by one of the blood recipients. The diversity of the viral population within each host was analyzed independently in distinct time points during HIV-1 infection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Portugal 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Bachelor 4 15%
Student > Ph. D. Student 4 15%
Student > Master 3 11%
Lecturer 2 7%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Agricultural and Biological Sciences 7 26%
Sports and Recreations 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Arts and Humanities 1 4%
Other 3 11%
Unknown 5 19%
Attention Score in Context

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 09 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from PLOS ONE
#172,725
of 193,568 outputs
Outputs of similar age
#147,991
of 164,194 outputs
Outputs of similar age from PLOS ONE
#3,661
of 3,988 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 164,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,988 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.