| Title |
The reinstatement model of drug relapse: history, methodology and major findings
|
|---|---|
| Published in |
Psychopharmacology, October 2002
|
| DOI | 10.1007/s00213-002-1224-x |
| Pubmed ID | |
| Authors |
Yavin Shaham, Uri Shalev, Lin Lu, Harriet de Wit, Jane Stewart |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Canada | 2 | 20% |
| Australia | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 40% |
| Scientists | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 615 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| Canada | 5 | <1% |
| Australia | 2 | <1% |
| Netherlands | 2 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Portugal | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 588 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 153 | 25% |
| Researcher | 104 | 17% |
| Student > Bachelor | 80 | 13% |
| Student > Master | 63 | 10% |
| Student > Doctoral Student | 36 | 6% |
| Other | 105 | 17% |
| Unknown | 74 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 141 | 23% |
| Neuroscience | 139 | 23% |
| Psychology | 134 | 22% |
| Medicine and Dentistry | 46 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 20 | 3% |
| Other | 42 | 7% |
| Unknown | 93 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 October 2021.
All research outputs
#3,117,655
of 25,400,630 outputs
Outputs from Psychopharmacology
#756
of 5,324 outputs
Outputs of similar age
#4,115
of 51,011 outputs
Outputs of similar age from Psychopharmacology
#6
of 30 outputs
Altmetric has tracked 25,400,630 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,324 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done well, scoring higher than 85% 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 51,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.