You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Clustering of HIV-1 Subtypes Based on gp120 V3 Loop electrostatic properties
|
---|---|
Published in |
BMC Biophysics, February 2012
|
DOI | 10.1186/2046-1682-5-3 |
Pubmed ID | |
Authors |
Aliana López de Victoria, Chris A Kieslich, Apostolos K Rizos, Elias Krambovitis, Dimitrios Morikis |
Abstract |
The V3 loop of the glycoprotein gp120 of HIV-1 plays an important role in viral entry into cells by utilizing as coreceptor CCR5 or CXCR4, and is implicated in the phenotypic tropisms of HIV viruses. It has been hypothesized that the interaction between the V3 loop and CCR5 or CXCR4 is mediated by electrostatics. We have performed hierarchical clustering analysis of the spatial distributions of electrostatic potentials and charges of V3 loop structures containing consensus sequences of HIV-1 subtypes. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
---|---|---|
United States | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 34% |
Student > Ph. D. Student | 6 | 19% |
Student > Bachelor | 5 | 16% |
Student > Doctoral Student | 3 | 9% |
Professor | 1 | 3% |
Other | 2 | 6% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 34% |
Biochemistry, Genetics and Molecular Biology | 5 | 16% |
Chemistry | 3 | 9% |
Computer Science | 2 | 6% |
Engineering | 2 | 6% |
Other | 6 | 19% |
Unknown | 3 | 9% |
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 22 September 2012.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Biophysics
#46
of 57 outputs
Outputs of similar age
#202,416
of 252,834 outputs
Outputs of similar age from BMC Biophysics
#2
of 2 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 15th percentile – i.e., 15% 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 252,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.