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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High prevalence of CXCR4 usage among treatment-naive CRF01_AE and CRF51_01B-infected HIV-1 subjects in Singapore
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2013
|
| DOI | 10.1186/1471-2334-13-90 |
| Pubmed ID | |
| Authors |
Kah Ying Ng, Kuan Kiat Chew, Palvinder Kaur, Joe Yap Kwan, Wei Xin Khong, Li Lin, Arlene Chua, Mei Ting Tan, Thomas C Quinn, Oliver Laeyendecker, Yee Sin Leo, Oon Tek Ng |
| Abstract |
Recent studies suggest HIV-1 inter-subtype differences in co-receptor usage. We examined the correlation between HIV-1 subtype and co-receptor usage among treatment-naïve HIV-1 subjects in Singapore. Additionally, we investigated whether the subtype co-receptor association was influenced by stage of infection. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 26% |
| Student > Ph. D. Student | 4 | 15% |
| Other | 3 | 11% |
| Student > Master | 3 | 11% |
| Lecturer | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Agricultural and Biological Sciences | 4 | 15% |
| Nursing and Health Professions | 2 | 7% |
| Unknown | 8 | 30% |
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 19 June 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from BMC Infectious Diseases
#5,561
of 7,644 outputs
Outputs of similar age
#146,839
of 193,023 outputs
Outputs of similar age from BMC Infectious Diseases
#124
of 161 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,644 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 193,023 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.