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Brain-specific HIV Nef identified in multiple patients with neurological disease

Overview of attention for article published in Journal of NeuroVirology, October 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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2 X users
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1 Facebook page
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1 Wikipedia page

Citations

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32 Mendeley
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2 CiteULike
Title
Brain-specific HIV Nef identified in multiple patients with neurological disease
Published in
Journal of NeuroVirology, October 2017
DOI 10.1007/s13365-017-0586-0
Pubmed ID
Authors

Susanna L. Lamers, Gary B. Fogel, Enoch S. Liu, Andrew E. Barbier, Christopher W. Rodriguez, Elyse J. Singer, David J. Nolan, Rebecca Rose, Michael S. McGrath

Abstract

HIV-1 Nef is a flexible, multifunctional protein with several cellular targets that is required for pathogenicity of the virus. This protein maintains a high degree of genetic variation among intra- and inter-host isolates. HIV Nef is relevant to HIV-associated neurological diseases (HAND) in patients treated with combined antiretroviral therapy because of the protein's role in promoting survival and migration of infected brain macrophages. In this study, we analyzed 2020 HIV Nef sequences derived from 22 different tissues and 31 subjects using a novel computational approach. This approach combines statistical regression and evolved neural networks (ENNs) to classify brain sequences based on the physical and chemical characteristics of functional Nef domains. Based on training, testing, and validation data, the method successfully classified brain Nef sequences at 84.5% and provided informative features for further examination. These included physicochemical features associated with the Src-homology-3 binding domain, the Nef loop (including the AP-2 Binding region), and a cytokine-binding domain. Non-brain sequences from patients with HIV-associated neurological disease were frequently classified as brain, suggesting that the approach could indicate neurological risk using blood-derived virus or for the development of biomarkers for use in assay systems aimed at drug efficacy studies for the treatment of HIV-associated neurological diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Student > Bachelor 4 13%
Researcher 4 13%
Student > Master 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Immunology and Microbiology 8 25%
Medicine and Dentistry 7 22%
Neuroscience 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Engineering 2 6%
Other 3 9%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 June 2021.
All research outputs
#6,488,305
of 23,006,268 outputs
Outputs from Journal of NeuroVirology
#175
of 933 outputs
Outputs of similar age
#107,512
of 327,882 outputs
Outputs of similar age from Journal of NeuroVirology
#2
of 16 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 933 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 80% 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 327,882 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.