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Are drug detection dogs and mass-media campaigns likely to be effective policy responses to psychostimulant use and related harm? Results from an agent-based simulation model

Overview of attention for article published in International Journal of Drug Policy, July 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Are drug detection dogs and mass-media campaigns likely to be effective policy responses to psychostimulant use and related harm? Results from an agent-based simulation model
Published in
International Journal of Drug Policy, July 2011
DOI 10.1016/j.drugpo.2011.05.018
Pubmed ID
Authors

Anne Dray, Pascal Perez, David Moore, Paul Dietze, Gabriele Bammer, Rebecca Jenkinson, Christine Siokou, Rachael Green, Susan L. Hudson, Lisa Maher

Abstract

Agent-based simulation models can be used to explore the impact of policy and practice on drug use and related consequences. In a linked paper (Perez et al., 2011), we described SimAmph, an agent-based simulation model for exploring the use of psychostimulants and related harm amongst young Australians.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 117 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 22 19%
Student > Master 19 16%
Student > Doctoral Student 8 7%
Other 7 6%
Other 18 15%
Unknown 22 19%
Readers by discipline Count As %
Social Sciences 24 20%
Psychology 22 19%
Medicine and Dentistry 10 8%
Decision Sciences 6 5%
Economics, Econometrics and Finance 5 4%
Other 23 19%
Unknown 28 24%
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 01 January 2015.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from International Journal of Drug Policy
#2,030
of 3,046 outputs
Outputs of similar age
#42,854
of 128,344 outputs
Outputs of similar age from International Journal of Drug Policy
#14
of 28 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 67th percentile.
So far Altmetric has tracked 3,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. 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 128,344 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 64% of its contemporaries.
We're also able to compare this research output to 28 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 50% of its contemporaries.