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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Correlates of sex trading among male non-injecting drug users in Myanmar: a cross-sectional study
|
|---|---|
| Published in |
Harm Reduction Journal, December 2016
|
| DOI | 10.1186/s12954-016-0123-0 |
| Pubmed ID | |
| Authors |
Yu Mon Saw, Thu Nandar Saw, Kyi Mar Wai, Krishna C. Poudel, Hla Hla Win |
| Abstract |
Sex trading is a recognized risk factor for human immune deficiency virus infection and other sexually transmitted infections among non-injecting drug users (NIDUs). However, very little research has addressed the factors associated with sex trading among male NIDUs in Myanmar. A cross-sectional study was conducted from January to February 2010 using the respondent-driven sampling method. In total, 210 NIDUs aged between 18 and 49 years, with no history of injecting drug use, and who used non-injected illicit drugs in the last 6 months were recruited. Face-to-face interviews were conducted using a structured questionnaire to collect information on participants' sexual and drug use behaviors. Binary and multivariate logistic regressions were applied to analyze the resulting data. Of 210 NIDUs, 84 (40%) reported involvement in the sex trade during the last 3 months. In the adjusted model, factors associated with sex trade involvement included homosexual preference (adjusted odds ratio [AOR] 4.90; 95% confidence interval [CI] 1.61-14.95), having more than two partners (AOR = 3.88; 95% CI 1.55-9.72), had a regular job (AOR = 5.10; 95% CI 1.65-15.72), use of stimulant drugs rather than opiate (AOR = 2.38; 95% CI 1.10-5.15), and who used drugs more than twice per day. More than one third of NIDUs were involved in sex trading. This study suggested that further comprehensive intervention programs that aim to reduce risk factors of trading sex among NIDUs may consider including NIDUs who used stimulant drugs, had regular/full-time jobs, used drugs more than twice per day, and had homosexual preferences. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 50% |
| Thailand | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 33 | 34% |
| Student > Bachelor | 13 | 14% |
| Researcher | 5 | 5% |
| Other | 4 | 4% |
| Student > Doctoral Student | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 25 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 33 | 34% |
| Medicine and Dentistry | 13 | 14% |
| Psychology | 9 | 9% |
| Social Sciences | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Other | 4 | 4% |
| Unknown | 28 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 July 2017.
All research outputs
#7,777,586
of 25,371,288 outputs
Outputs from Harm Reduction Journal
#752
of 1,119 outputs
Outputs of similar age
#128,384
of 416,403 outputs
Outputs of similar age from Harm Reduction Journal
#12
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,119 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one is in the 32nd percentile – i.e., 32% 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 416,403 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 68% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.