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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 (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
53 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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 9 17%
Student > Bachelor 6 11%
Other 3 6%
Researcher 2 4%
Other 8 15%
Unknown 15 28%
Readers by discipline Count As %
Nursing and Health Professions 10 19%
Psychology 8 15%
Medicine and Dentistry 8 15%
Arts and Humanities 3 6%
Economics, Econometrics and Finance 2 4%
Other 3 6%
Unknown 19 36%

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
#3,523,798
of 12,372,633 outputs
Outputs from BMC Public Health
#3,953
of 8,418 outputs
Outputs of similar age
#41,771
of 144,642 outputs
Outputs of similar age from BMC Public Health
#19
of 32 outputs
Altmetric has tracked 12,372,633 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 52% 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 144,642 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 70% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.