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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SimAmph: An agent-based simulation model for exploring the use of psychostimulants and related harm amongst young Australians
|
|---|---|
| Published in |
International Journal of Drug Policy, June 2011
|
| DOI | 10.1016/j.drugpo.2011.05.017 |
| Pubmed ID | |
| Authors |
Pascal Perez, Anne Dray, David Moore, Paul Dietze, Gabriele Bammer, Rebecca Jenkinson, Christine Siokou, Rachael Green, Susan L. Hudson, Lisa Maher |
| Abstract |
Computer simulations provide a useful tool for bringing together diverse sources of information in order to increase understanding of the complex aetiology of drug use and related harm, and to inform the development of effective policies. In this paper, we describe SimAmph, an agent-based simulation model for exploring how individual perceptions, peer influences and subcultural settings shape the use of psychostimulants and related harm amongst young Australians. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | <1% |
| Unknown | 112 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 21% |
| Student > Master | 21 | 19% |
| Researcher | 20 | 18% |
| Student > Bachelor | 9 | 8% |
| Other | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 24 | 21% |
| Psychology | 20 | 18% |
| Medicine and Dentistry | 10 | 9% |
| Engineering | 7 | 6% |
| Decision Sciences | 6 | 5% |
| Other | 25 | 22% |
| Unknown | 21 | 19% |
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 01 January 2015.
All research outputs
#5,240,151
of 25,373,627 outputs
Outputs from International Journal of Drug Policy
#1,534
of 3,046 outputs
Outputs of similar age
#26,689
of 127,113 outputs
Outputs of similar age from International Journal of Drug Policy
#7
of 21 outputs
Altmetric has tracked 25,373,627 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 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 49th percentile – i.e., 49% 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 127,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 21 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.