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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, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
65 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, March 2012
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 13 20%
Student > Master 10 15%
Student > Doctoral Student 5 8%
Other 4 6%
Other 13 20%
Unknown 6 9%
Readers by discipline Count As %
Social Sciences 17 26%
Psychology 12 18%
Medicine and Dentistry 8 12%
Business, Management and Accounting 4 6%
Decision Sciences 4 6%
Other 12 18%
Unknown 8 12%

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
#3,404,378
of 12,288,060 outputs
Outputs from International Journal of Drug Policy
#909
of 1,542 outputs
Outputs of similar age
#31,954
of 116,819 outputs
Outputs of similar age from International Journal of Drug Policy
#4
of 12 outputs
Altmetric has tracked 12,288,060 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 1,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 40th percentile – i.e., 40% 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 116,819 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 71% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.