| Title |
Markov Chain Modeling of Initiation and Demand: The Case of the US Cocaine Epidemic
|
|---|---|
| Published in |
Health Care Management Science, November 2004
|
| DOI | 10.1007/s10729-004-7540-4 |
| Pubmed ID | |
| Authors |
Jonathan P. Caulkins, Doris A. Behrens, Claudia Knoll, Gernot Tragler, Doris Zuba |
| Abstract |
Everingham and Rydell's Markov chain model of cocaine demand is modified and updated in light of recent data. Key insights continue to hold, e.g., that the proportion of cocaine demand stemming from heavy vs. light users changed dramatically over the 1980s. New insights emerge, e.g., pertaining to the average duration of a career of heavy use (about 12 years) and the negative relationship between levels of heavy use and epidemic "infectivity" or the number of new initiates per current user per year. This illustrates how simple modeling can yield insights directly relevant to managing complex drug control policy questions. |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Doctoral Student | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 3 | 17% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 4 | 22% |
| Decision Sciences | 2 | 11% |
| Mathematics | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 5 | 28% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 2010.
All research outputs
#4,719,388
of 22,883,326 outputs
Outputs from Health Care Management Science
#56
of 285 outputs
Outputs of similar age
#10,296
of 62,467 outputs
Outputs of similar age from Health Care Management Science
#2
of 4 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 77% 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 62,467 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 73% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.