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Replication competent virus as an important source of bias in HIV latency models utilizing single round viral constructs

Overview of attention for article published in Retrovirology, August 2014
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1 tweeter
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1 Facebook page

Citations

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8 Dimensions

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32 Mendeley
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Title
Replication competent virus as an important source of bias in HIV latency models utilizing single round viral constructs
Published in
Retrovirology, August 2014
DOI 10.1186/s12977-014-0070-3
Pubmed ID
Authors

Pawel Bonczkowski, Ward De Spiegelaere, Alberto Bosque, Cory H White, Anouk Van Nuffel, Eva Malatinkova, Maja Kiselinova, Wim Trypsteen, Wojciech Witkowski, Jolien Vermeire, Bruno Verhasselt, Laura Martins, Christopher H Woelk, Vicente Planelles, Linos Vandekerckhove

Abstract

The central memory T cell (TCM) model forms a unique HIV-1 latency model based on primary cells that closely resemble in vivo TCM. The virus employed in this model is based on an engineered vector incapable of replication after initial infection. We show that despite this strategy, replication competent viral particles are released into the culture medium due to recombination between overlapping sequences of the env deleted HIV genome that is co-transfected with intact env. This finding emphasizes the need for careful data analysis and interpretation if similar constructs are employed and urges for additional caution during laboratory work.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 4 13%
Other 3 9%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Medicine and Dentistry 6 19%
Immunology and Microbiology 6 19%
Biochemistry, Genetics and Molecular Biology 5 16%
Nursing and Health Professions 1 3%
Other 3 9%
Unknown 4 13%

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 25 February 2015.
All research outputs
#3,212,927
of 4,804,615 outputs
Outputs from Retrovirology
#189
of 232 outputs
Outputs of similar age
#97,814
of 145,263 outputs
Outputs of similar age from Retrovirology
#2
of 2 outputs
Altmetric has tracked 4,804,615 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 232 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.