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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic diversity and drug resistance among newly diagnosed and antiretroviral treatment-naive HIV-infected individuals in western Yunnan: a hot area of viral recombination in China
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2012
|
| DOI | 10.1186/1471-2334-12-382 |
| Pubmed ID | |
| Authors |
Min Chen, Yanling Ma, Song Duan, Hui Xing, Shitang Yao, Yingzhen Su, Hongbing Luo, Li Yang, Huichao Chen, Liru Fu, Aijuan Qu, Chin-Yih Ou, Manhong Jia, Lin Lu |
| Abstract |
The emergence of an HIV-1 epidemic in China was first recognized in Dehong, western Yunnan. Due to its geographic location, Dehong contributed greatly in bridging HIV-1 epidemics in Southeast Asia and China through drug trafficking and injection drug use; and also extensively to the HIV genetic diversity in Yunnan and China. We attempt to monitor HIV-1 in this area by studying the HIV-1 genetic distribution and transmitted drug resistance (TDR) in various at-risk populations. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | 2% |
| Unknown | 51 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 15% |
| Student > Master | 7 | 13% |
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 7 | 13% |
| Other | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 42% |
| Agricultural and Biological Sciences | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Social Sciences | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 16 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 September 2014.
All research outputs
#5,618,806
of 23,504,998 outputs
Outputs from BMC Infectious Diseases
#1,642
of 7,837 outputs
Outputs of similar age
#57,516
of 284,084 outputs
Outputs of similar age from BMC Infectious Diseases
#33
of 170 outputs
Altmetric has tracked 23,504,998 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 78% 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 284,084 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 79% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.