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HIV-1 Latency

Overview of attention for book
Cover of 'HIV-1 Latency'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 70 Immune Interventions to Eliminate the HIV Reservoir
  3. Altmetric Badge
    Chapter 71 Cell and Gene Therapy for HIV Cure
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    Chapter 72 The Antiviral Immune Response and Its Impact on the HIV-1 Reservoir
  5. Altmetric Badge
    Chapter 73 Nonhuman Primate Models for Studies of AIDS Virus Persistence During Suppressive Combination Antiretroviral Therapy
  6. Altmetric Badge
    Chapter 74 Molecular Control of HIV and SIV Latency
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    Chapter 75 Assays to Measure Latency, Reservoirs, and Reactivation
  8. Altmetric Badge
    Chapter 77 Mathematical Models of HIV Latency
  9. Altmetric Badge
    Chapter 89 SIV Latency in Macrophages in the CNS
  10. Altmetric Badge
    Chapter 118 Residual Immune Activation and Latency
Attention for Chapter 74: Molecular Control of HIV and SIV Latency
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Citations

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Chapter title
Molecular Control of HIV and SIV Latency
Chapter number 74
Book title
HIV-1 Latency
Published in
Current topics in microbiology and immunology, January 2017
DOI 10.1007/82_2017_74
Pubmed ID
29071474
Book ISBNs
978-3-03-002815-2, 978-3-03-002816-9
Authors

DARCIS, Gilles, Van Driessche, Benoit, Bouchat, Sophie, Kirchhoff, Frank, Van Lint, Carine, Gilles Darcis, Benoit Van Driessche, Sophie Bouchat, Frank Kirchhoff, Carine Van Lint, Darcis, Gilles

Abstract

The HIV latent reservoirs are considered as the main hurdle to viral eradication. Numerous mechanisms lead to the establishment of HIV latency and act at the transcriptional and post-transcriptional levels. A better understanding of latency is needed in order to ultimately achieve a cure for HIV. The mechanisms underlying latency vary between patients, tissues, anatomical compartments, and cell types. From this point of view, simian immunodeficiency virus (SIV) infection and the use of nonhuman primate (NHP) models that recapitulate many aspects of HIV-associated latency establishment and disease progression are essential tools since they allow extensive tissue sampling as well as a control of infection parameters (virus type, dose, route, and time).

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X Demographics

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Student > Ph. D. Student 4 17%
Student > Bachelor 3 13%
Researcher 2 9%
Student > Postgraduate 2 9%
Other 0 0%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 22%
Biochemistry, Genetics and Molecular Biology 3 13%
Immunology and Microbiology 3 13%
Medicine and Dentistry 2 9%
Sports and Recreations 1 4%
Other 2 9%
Unknown 7 30%
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 17 January 2018.
All research outputs
#20,459,801
of 23,016,919 outputs
Outputs from Current topics in microbiology and immunology
#600
of 679 outputs
Outputs of similar age
#356,235
of 421,312 outputs
Outputs of similar age from Current topics in microbiology and immunology
#39
of 44 outputs
Altmetric has tracked 23,016,919 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 679 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 421,312 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 44 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.

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