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HIV-1 transcription and latency: an update

Overview of attention for article published in Retrovirology, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 540)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
twitter
11 tweeters

Citations

dimensions_citation
232 Dimensions

Readers on

mendeley
404 Mendeley
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Title
HIV-1 transcription and latency: an update
Published in
Retrovirology, June 2013
DOI 10.1186/1742-4690-10-67
Pubmed ID
Authors

Carine Van Lint, Sophie Bouchat, Alessandro Marcello

Abstract

Combination antiretroviral therapy, despite being potent and life-prolonging, is not curative and does not eradicate HIV-1 infection since interruption of treatment inevitably results in a rapid rebound of viremia. Reactivation of latently infected cells harboring transcriptionally silent but replication-competent proviruses is a potential source of persistent residual viremia in cART-treated patients. Although multiple reservoirs may exist, the persistence of resting CD4+ T cells carrying a latent infection represents a major barrier to eradication. In this review, we will discuss the latest reports on the molecular mechanisms that may regulate HIV-1 latency at the transcriptional level, including transcriptional interference, the role of cellular factors, chromatin organization and epigenetic modifications, the viral Tat trans-activator and its cellular cofactors. Since latency mechanisms may also operate at the post-transcriptional level, we will consider inhibition of nuclear RNA export and inhibition of translation by microRNAs as potential barriers to HIV-1 gene expression. Finally, we will review the therapeutic approaches and clinical studies aimed at achieving either a sterilizing cure or a functional cure of HIV-1 infection, with a special emphasis on the most recent pharmacological strategies to reactivate the latent viruses and decrease the pool of viral reservoirs.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters 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 404 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Canada 3 <1%
Malaysia 2 <1%
Germany 2 <1%
Zimbabwe 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
India 1 <1%
Other 5 1%
Unknown 383 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 27%
Student > Master 69 17%
Researcher 58 14%
Student > Bachelor 56 14%
Student > Doctoral Student 20 5%
Other 44 11%
Unknown 49 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 32%
Biochemistry, Genetics and Molecular Biology 63 16%
Medicine and Dentistry 60 15%
Immunology and Microbiology 54 13%
Chemistry 13 3%
Other 27 7%
Unknown 57 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 13 May 2015.
All research outputs
#517,778
of 10,677,937 outputs
Outputs from Retrovirology
#18
of 540 outputs
Outputs of similar age
#7,606
of 131,702 outputs
Outputs of similar age from Retrovirology
#1
of 8 outputs
Altmetric has tracked 10,677,937 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 96% of its peers.
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 131,702 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them