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The Role of Exposure History on HIV Acquisition: Insights from Repeated Low-dose Challenge Studies

Overview of attention for article published in PLoS Computational Biology, November 2012
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Title
The Role of Exposure History on HIV Acquisition: Insights from Repeated Low-dose Challenge Studies
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002767
Pubmed ID
Authors

Roland R. Regoes

Abstract

To assess the efficacy of HIV vaccine candidates or preventive treatment, many research groups have started to challenge monkeys repeatedly with low doses of the virus. Such challenge data provide a unique opportunity to assess the importance of exposure history for the acquisition of the infection. I developed stochastic models to analyze previously published challenge data. In the mathematical models, I allowed for variation of the animals' susceptibility to infection across challenge repeats, or across animals. In none of the studies I analyzed, I found evidence for an immunizing effect of non-infecting challenges, and in most studies, there is no evidence for variation in the susceptibilities to the challenges across animals. A notable exception was a challenge experiment by Letvin et al. Sci Translat Med (2011) conducted with the strain SIVsmE660. The challenge data of this experiment showed significant susceptibility variation from animal-to-animal, which is consistent with previously established genetic differences between the involved animals. For the studies which did not show significant immunizing effects and susceptibility differences, I conducted a power analysis and could thus exclude a very strong immunization effect for some of the studies. These findings validate the assumption that non-infecting challenges do not immunize an animal - an assumption that is central in the argument that repeated low-dose challenge experiments increase the statistical power of preclinical HIV vaccine trials. They are also relevant for our understanding of the role of exposure history for HIV acquisition and forecasting the epidemiological spread of HIV.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Portugal 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 6 24%
Lecturer 2 8%
Professor 2 8%
Student > Bachelor 1 4%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 24%
Medicine and Dentistry 5 20%
Biochemistry, Genetics and Molecular Biology 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Immunology and Microbiology 2 8%
Other 4 16%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2021.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#7,219
of 8,960 outputs
Outputs of similar age
#125,527
of 198,391 outputs
Outputs of similar age from PLoS Computational Biology
#75
of 110 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 16th percentile – i.e., 16% 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 198,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.