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Modelling binding between CCR5 and CXCR4 receptors and their ligands suggests the surface electrostatic potential of the co-receptor to be a key player in the HIV-1 tropism

Overview of attention for article published in Retrovirology, November 2013
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Title
Modelling binding between CCR5 and CXCR4 receptors and their ligands suggests the surface electrostatic potential of the co-receptor to be a key player in the HIV-1 tropism
Published in
Retrovirology, November 2013
DOI 10.1186/1742-4690-10-130
Pubmed ID
Authors

Olga V Kalinina, Nico Pfeifer, Thomas Lengauer

Abstract

CCR5 and CXCR4 are the two membrane-standing proteins that, along with CD4, facilitate entry of HIV particles into the host cell. HIV strains differ in their ability to utilize either CCR5 or CXCR4, and this specificity, also known as viral tropism, is largely determined by the sequence of the V3 loop of the viral envelope protein gp120.

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Canada 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Bachelor 10 20%
Student > Master 7 14%
Researcher 5 10%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 9 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Biochemistry, Genetics and Molecular Biology 8 16%
Computer Science 3 6%
Immunology and Microbiology 3 6%
Medicine and Dentistry 3 6%
Other 9 18%
Unknown 9 18%
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 15 November 2013.
All research outputs
#17,702,587
of 22,729,647 outputs
Outputs from Retrovirology
#914
of 1,105 outputs
Outputs of similar age
#151,851
of 212,947 outputs
Outputs of similar age from Retrovirology
#34
of 56 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,105 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 13th percentile – i.e., 13% 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 212,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.