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X Demographics
Mendeley readers
Attention Score in Context
Title |
Functional conservation of HIV-1 Gag: implications for rational drug design
|
---|---|
Published in |
Retrovirology, October 2013
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DOI | 10.1186/1742-4690-10-126 |
Pubmed ID | |
Authors |
Guangdi Li, Jens Verheyen, Soo-Yon Rhee, Arnout Voet, Anne-Mieke Vandamme, Kristof Theys |
Abstract |
HIV-1 replication can be successfully blocked by targeting gag gene products, offering a promising strategy for new drug classes that complement current HIV-1 treatment options. However, naturally occurring polymorphisms at drug binding sites can severely compromise HIV-1 susceptibility to gag inhibitors in clinical and experimental studies. Therefore, a comprehensive understanding of gag natural diversity is needed. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 24% |
Researcher | 13 | 19% |
Student > Bachelor | 8 | 12% |
Student > Master | 7 | 10% |
Student > Doctoral Student | 3 | 4% |
Other | 5 | 7% |
Unknown | 15 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 21% |
Biochemistry, Genetics and Molecular Biology | 10 | 15% |
Medicine and Dentistry | 8 | 12% |
Immunology and Microbiology | 5 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Other | 10 | 15% |
Unknown | 17 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 October 2019.
All research outputs
#2,761,477
of 22,729,647 outputs
Outputs from Retrovirology
#119
of 1,105 outputs
Outputs of similar age
#26,785
of 213,077 outputs
Outputs of similar age from Retrovirology
#6
of 55 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 89% 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 213,077 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 87% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.