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Greater ethnic diversity correlates with lower HIV prevalence in Africa: justification for an alloimmunity vaccine

Overview of attention for article published in HIV/AIDS (Auckland, N.Z.), April 2013
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Mentioned by

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1 X user
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1 Facebook page
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1 research highlight platform

Citations

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2 Dimensions

Readers on

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23 Mendeley
Title
Greater ethnic diversity correlates with lower HIV prevalence in Africa: justification for an alloimmunity vaccine
Published in
HIV/AIDS (Auckland, N.Z.), April 2013
DOI 10.2147/hiv.s38922
Pubmed ID
Authors

Debra Hughes, Zamani, Jared Elzey, Hildreth

Abstract

After decades of research, AIDS continues to be a major pandemic and to date, adaptive immunity vaccine designs have had little to no success. Data indicate the alloimmune response is a potent mitigator of human immunodeficiency virus (HIV) infection, for which experiments of nature should be demonstrable to justify pursuit of an alloimmune vaccine strategy. We sought to determine if large-scale alloimmune diversity correlates with lower HIV infection rates.

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 > Ph. D. Student 5 22%
Student > Master 3 13%
Other 2 9%
Student > Doctoral Student 2 9%
Professor > Associate Professor 2 9%
Other 3 13%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Agricultural and Biological Sciences 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Environmental Science 1 4%
Mathematics 1 4%
Other 2 9%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 June 2018.
All research outputs
#15,755,393
of 25,394,764 outputs
Outputs from HIV/AIDS (Auckland, N.Z.)
#136
of 330 outputs
Outputs of similar age
#123,103
of 213,070 outputs
Outputs of similar age from HIV/AIDS (Auckland, N.Z.)
#3
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 330 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 56% 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 213,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.