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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Appraising the performance of genotyping tools in the prediction of coreceptor tropism in HIV-1 subtype C viruses
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2012
|
| DOI | 10.1186/1471-2334-12-203 |
| Pubmed ID | |
| Authors |
Saleema Crous, Ram Krishna Shrestha, Simon A Travers |
| Abstract |
In human immunodeficiency virus type 1 (HIV-1) infection, transmitted viruses generally use the CCR5 chemokine receptor as a coreceptor for host cell entry. In more than 50% of subtype B infections, a switch in coreceptor tropism from CCR5- to CXCR4-use occurs during disease progression. Phenotypic or genotypic approaches can be used to test for the presence of CXCR4-using viral variants in an individual's viral population that would result in resistance to treatment with CCR5-antagonists. While genotyping approaches for coreceptor-tropism prediction in subtype B are well established and verified, they are less so for subtype C. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 3% |
| South Africa | 1 | 3% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Researcher | 7 | 23% |
| Student > Master | 5 | 17% |
| Professor | 3 | 10% |
| Lecturer | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 33% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Medicine and Dentistry | 5 | 17% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
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 05 September 2012.
All research outputs
#14,931,785
of 23,881,329 outputs
Outputs from BMC Infectious Diseases
#3,937
of 7,931 outputs
Outputs of similar age
#101,845
of 172,050 outputs
Outputs of similar age from BMC Infectious Diseases
#37
of 101 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 47th percentile – i.e., 47% 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 172,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.