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Modeling predictors of risky drug use behavior among male street laborers in urban Vietnam

Overview of attention for article published in BMC Public Health, May 2013
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 X users

Citations

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5 Dimensions

Readers on

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70 Mendeley
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Title
Modeling predictors of risky drug use behavior among male street laborers in urban Vietnam
Published in
BMC Public Health, May 2013
DOI 10.1186/1471-2458-13-453
Pubmed ID
Authors

Van Huy Nguyen, Michael P Dunne, Joseph Debattista

Abstract

The application of theoretical frameworks for modeling predictors of drug risk among male street laborers remains limited. The objective of this study was to test a modified version of the IMB (Information-Motivation-Behavioral Skills Model), which includes psychosocial stress, and compare this modified version with the original IMB model in terms of goodness-of-fit to predict risky drug use behavior among this population.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Master 10 14%
Student > Bachelor 6 9%
Lecturer 4 6%
Other 4 6%
Other 11 16%
Unknown 25 36%
Readers by discipline Count As %
Nursing and Health Professions 12 17%
Medicine and Dentistry 10 14%
Psychology 9 13%
Arts and Humanities 3 4%
Economics, Econometrics and Finance 2 3%
Other 4 6%
Unknown 30 43%
Attention Score in Context

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 26 May 2013.
All research outputs
#7,328,935
of 22,709,015 outputs
Outputs from BMC Public Health
#7,704
of 14,783 outputs
Outputs of similar age
#64,463
of 193,543 outputs
Outputs of similar age from BMC Public Health
#152
of 291 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 14,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 47th percentile – i.e., 47% 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 193,543 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 66% of its contemporaries.
We're also able to compare this research output to 291 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.