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Identification of broadly neutralizing antibody epitopes in the HIV-1 envelope glycoprotein using evolutionary models

Overview of attention for article published in Virology Journal, December 2013
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2 X users
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1 Facebook page

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50 Mendeley
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1 CiteULike
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Title
Identification of broadly neutralizing antibody epitopes in the HIV-1 envelope glycoprotein using evolutionary models
Published in
Virology Journal, December 2013
DOI 10.1186/1743-422x-10-347
Pubmed ID
Authors

Miguel Lacerda, Penny L Moore, Nobubelo K Ngandu, Michael Seaman, Elin S Gray, Ben Murrell, Mohan Krishnamoorthy, Molati Nonyane, Maphuti Madiga, Constantinos Kurt Wibmer, Daniel Sheward, Robert T Bailer, Hongmei Gao, Kelli M Greene, Salim S Abdool Karim, John R Mascola, Bette TM Korber, David C Montefiori, Lynn Morris, Carolyn Williamson, Cathal Seoighe, the CAVD-NSDP Consortium

Abstract

Identification of the epitopes targeted by antibodies that can neutralize diverse HIV-1 strains can provide important clues for the design of a preventative vaccine.

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

Geographical breakdown

Country Count As %
South Africa 2 4%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Student > Master 9 18%
Researcher 8 16%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 7 14%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 34%
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 4 8%
Immunology and Microbiology 3 6%
Engineering 2 4%
Other 7 14%
Unknown 9 18%
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 02 December 2013.
All research outputs
#14,767,396
of 22,733,113 outputs
Outputs from Virology Journal
#1,805
of 3,035 outputs
Outputs of similar age
#186,060
of 307,218 outputs
Outputs of similar age from Virology Journal
#45
of 60 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 36th percentile – i.e., 36% 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 307,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.