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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The geographic distribution patterns of HIV-, HCV- and co-infections among drug users in a national methadone maintenance treatment program in Southwest China
|
|---|---|
| Published in |
BMC Infectious Diseases, March 2014
|
| DOI | 10.1186/1471-2334-14-134 |
| Pubmed ID | |
| Authors |
Yi-Biao Zhou, Song Liang, Qi-Xing Wang, Yu-Han Gong, Shi-Jiao Nie, Lei Nan, Ai-Hui Yang, Qiang Liao, Xiu-Xia Song, Qing-Wu Jiang |
| Abstract |
HIV-, HCV- and HIV/HCV co-infections among drug users have become a rapidly emerging global public health problem. In order to constrain the dual epidemics of HIV/AIDS and drug use, China has adopted a methadone maintenance treatment program (MMTP) since 2004. Studies of the geographic heterogeneity of HIV and HCV infections at a local scale are sparse, which has critical implications for future MMTP implementation and health policies covering both HIV and HCV prevention among drug users in China. This study aimed to characterize geographic patterns of HIV and HCV prevalence at the township level among drug users in a Yi Autonomous Prefecture, Southwest of China. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 5 | 63% |
| Australia | 1 | 13% |
| South Africa | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Thailand | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 21% |
| Researcher | 11 | 20% |
| Student > Ph. D. Student | 6 | 11% |
| Other | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 15 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 23% |
| Nursing and Health Professions | 3 | 5% |
| Psychology | 3 | 5% |
| Social Sciences | 3 | 5% |
| Environmental Science | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 19 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 March 2014.
All research outputs
#6,116,758
of 22,747,498 outputs
Outputs from BMC Infectious Diseases
#1,840
of 7,664 outputs
Outputs of similar age
#57,826
of 220,762 outputs
Outputs of similar age from BMC Infectious Diseases
#38
of 147 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 75% 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 220,762 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 147 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 74% of its contemporaries.