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Ability of HIV-1 Nef to downregulate CD4 and HLA class I differs among viral subtypes

Overview of attention for article published in Retrovirology, September 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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5 X users
wikipedia
1 Wikipedia page

Citations

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66 Dimensions

Readers on

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110 Mendeley
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Title
Ability of HIV-1 Nef to downregulate CD4 and HLA class I differs among viral subtypes
Published in
Retrovirology, September 2013
DOI 10.1186/1742-4690-10-100
Pubmed ID
Authors

Jaclyn K Mann, Helen Byakwaga, Xiaomei T Kuang, Anh Q Le, Chanson J Brumme, Philip Mwimanzi, Saleha Omarjee, Eric Martin, Guinevere Q Lee, Bemuluyigza Baraki, Ryan Danroth, Rosemary McCloskey, Conrad Muzoora, David R Bangsberg, Peter W Hunt, Philip JR Goulder, Bruce D Walker, P Richard Harrigan, Jeff N Martin, Thumbi Ndung’u, Mark A Brockman, Zabrina L Brumme

Abstract

The highly genetically diverse HIV-1 group M subtypes may differ in their biological properties. Nef is an important mediator of viral pathogenicity; however, to date, a comprehensive inter-subtype comparison of Nef in vitro function has not been undertaken. Here, we investigate two of Nef's most well-characterized activities, CD4 and HLA class I downregulation, for clones obtained from 360 chronic patients infected with HIV-1 subtypes A, B, C or D.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 24%
Student > Ph. D. Student 21 19%
Student > Master 11 10%
Student > Bachelor 11 10%
Other 6 5%
Other 17 15%
Unknown 18 16%
Readers by discipline Count As %
Immunology and Microbiology 31 28%
Agricultural and Biological Sciences 18 16%
Medicine and Dentistry 16 15%
Biochemistry, Genetics and Molecular Biology 14 13%
Nursing and Health Professions 3 3%
Other 7 6%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 May 2014.
All research outputs
#5,629,188
of 22,721,584 outputs
Outputs from Retrovirology
#272
of 1,104 outputs
Outputs of similar age
#43,371
of 179,662 outputs
Outputs of similar age from Retrovirology
#7
of 31 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 75% 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 179,662 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.