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Using animal models to overcome temporal, spatial and combinatorial challenges in HIV persistence research

Overview of attention for article published in Journal of Translational Medicine, February 2016
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Title
Using animal models to overcome temporal, spatial and combinatorial challenges in HIV persistence research
Published in
Journal of Translational Medicine, February 2016
DOI 10.1186/s12967-016-0807-y
Pubmed ID
Authors

Paul W. Denton, Ole S. Søgaard, Martin Tolstrup

Abstract

Research challenges associated with understanding HIV persistence during antiretroviral therapy can be categorized as temporal, spatial and combinatorial. Temporal research challenges relate to the timing of events during establishment and maintenance of HIV persistence. Spatial research challenges regard the anatomical locations and cell subsets that harbor persistent HIV. Combinatorial research challenges pertain to the order of administration, timing of administration and specific combinations of compounds to be administered during HIV eradication therapy. Overcoming these challenges will improve our understanding of HIV persistence and move the field closer to achieving eradication of persistent HIV. Given that humanized mice and non-human primate HIV models permit rigorous control of experimental conditions, these models have been used extensively as in vivo research platforms for directly addressing these research challenges. The aim of this manuscript is to provide a comprehensive review of these recent translational advances made in animal models of HIV persistence.

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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.
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 %
Denmark 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Student > Bachelor 4 15%
Student > Master 4 15%
Lecturer 2 7%
Professor 2 7%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Psychology 2 7%
Other 5 19%
Unknown 7 26%
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 11 February 2016.
All research outputs
#18,438,457
of 22,844,985 outputs
Outputs from Journal of Translational Medicine
#2,948
of 3,998 outputs
Outputs of similar age
#290,196
of 400,364 outputs
Outputs of similar age from Journal of Translational Medicine
#73
of 79 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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