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Estimating Prevalence of Illicit Drug Use in Yunnan, China, 2011–15

Overview of attention for article published in Frontiers in Psychiatry, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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10 X users
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1 Redditor
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1 YouTube creator

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22 Mendeley
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Title
Estimating Prevalence of Illicit Drug Use in Yunnan, China, 2011–15
Published in
Frontiers in Psychiatry, June 2018
DOI 10.3389/fpsyt.2018.00256
Pubmed ID
Authors

Guanbai Zhang, Heng Jiang, Jiucheng Shen, Pinyuan Wen, Xuebing Liu, Wei Hao

Abstract

Background and Aims: Yunnan has been one of the provinces most afflicted by illicit drug use in China. However, there have been few systematic studies on the prevalence of illicit drug use in the area. Method: Using data on illicit drug users registered in the police system, this study aims to estimate the population size of illicit drug users and the annual prevalence of drug use in Yunnan from 2011 to 2015 using Zelterman's capture-recapture method. Results: In the 15-64 year-old population, the estimated prevalence rate of any illicit drug use was 0.81% (0.76-0.86%) in 2011 and 0.94% (0.90-0.98%) in 2014, representing a significant increase. The prevalence rate of heroin use decreased from 0.67% (0.63-0.73%) in 2011 to 0.57% (0.53-0.61%) in 2015, while the prevalence rate of methamphetamine use doubled from 0.20% (0.17-0.24%) in 2011 to 0.48% (0.46-0.50%) in 2015. The mean age of the 141,702 identified illicit drug users in Yunnan from 2011 to 2015 was 32.2 years, and the majority were male, low educated, and peasants; nearly half were single and ethnic minorities. The ratio of the number of identified illicit drug users to the number of hidden users increased from 1:12 in 2011 to 1:5 in 2015. Conclusion: The prevalence of illicit drug use in Yunnan has been increasing. Although the prevalence of heroin use decreased, methamphetamine use increased dramatically from 2011 to 2015. Preventive strategies that are more effective in reducing illicit drug use are urgently needed in Yunnan.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Master 4 18%
Researcher 3 14%
Student > Doctoral Student 3 14%
Student > Bachelor 1 5%
Other 2 9%
Unknown 5 23%
Readers by discipline Count As %
Nursing and Health Professions 5 23%
Medicine and Dentistry 4 18%
Psychology 2 9%
Social Sciences 2 9%
Economics, Econometrics and Finance 1 5%
Other 4 18%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2023.
All research outputs
#5,333,252
of 25,988,468 outputs
Outputs from Frontiers in Psychiatry
#2,859
of 12,954 outputs
Outputs of similar age
#92,784
of 344,238 outputs
Outputs of similar age from Frontiers in Psychiatry
#92
of 175 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 77% 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 344,238 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 72% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.