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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CoRSeqV3-C: a novel HIV-1 subtype C specific V3 sequence based coreceptor usage prediction algorithm
|
|---|---|
| Published in |
Retrovirology, February 2013
|
| DOI | 10.1186/1742-4690-10-24 |
| Pubmed ID | |
| Authors |
Kieran Cashin, Lachlan R Gray, Martin R Jakobsen, Jasminka Sterjovski, Melissa J Churchill, Paul R Gorry |
| Abstract |
The majority of HIV-1 subjects worldwide are infected with HIV-1 subtype C (C-HIV). Although C-HIV predominates in developing regions of the world such as Southern Africa and Central Asia, C-HIV is also spreading rapidly in countries with more developed economies and health care systems, whose populations are more likely to have access to wider treatment options, including the CCR5 antagonist maraviroc (MVC). The ability to reliably determine C-HIV coreceptor usage is therefore becoming increasingly more important. In silico V3 sequence based coreceptor usage prediction algorithms are a relatively rapid and cost effective method for determining HIV-1 coreceptor specificity. In this study, we elucidated the V3 sequence determinants of C-HIV coreceptor usage, and used this knowledge to develop and validate a novel, user friendly, and highly sensitive C-HIV specific coreceptor usage prediction algorithm. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Researcher | 5 | 16% |
| Student > Master | 4 | 13% |
| Professor | 3 | 10% |
| Other | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 26% |
| Agricultural and Biological Sciences | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Immunology and Microbiology | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 7 | 23% |
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 27 February 2013.
All research outputs
#20,184,694
of 22,699,621 outputs
Outputs from Retrovirology
#1,060
of 1,103 outputs
Outputs of similar age
#169,542
of 192,966 outputs
Outputs of similar age from Retrovirology
#16
of 16 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,103 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 1st percentile – i.e., 1% 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 192,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.