| Title |
Reversal learning as a measure of impulsive and compulsive behavior in addictions
|
|---|---|
| Published in |
Psychopharmacology, November 2011
|
| DOI | 10.1007/s00213-011-2579-7 |
| Pubmed ID | |
| Authors |
Alicia Izquierdo, J. David Jentsch |
| Abstract |
Our ability to measure the cognitive components of complex decision-making across species has greatly facilitated our understanding of its neurobiological mechanisms. One task in particular, reversal learning, has proven valuable in assessing the inhibitory processes that are central to executive control. Reversal learning measures the ability to actively suppress reward-related responding and to disengage from ongoing behavior, phenomena that are biologically and descriptively related to impulsivity and compulsivity. Consequently, reversal learning could index vulnerability for disorders characterized by impulsivity such as proclivity for initial substance abuse as well as the compulsive aspects of dependence. |
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 % |
|---|---|---|
| Mexico | 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 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Spain | 3 | <1% |
| Germany | 2 | <1% |
| Portugal | 2 | <1% |
| France | 2 | <1% |
| Netherlands | 2 | <1% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 514 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 134 | 25% |
| Student > Bachelor | 94 | 18% |
| Researcher | 71 | 13% |
| Student > Master | 65 | 12% |
| Student > Doctoral Student | 33 | 6% |
| Other | 72 | 13% |
| Unknown | 66 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 142 | 27% |
| Neuroscience | 113 | 21% |
| Agricultural and Biological Sciences | 91 | 17% |
| Medicine and Dentistry | 50 | 9% |
| Biochemistry, Genetics and Molecular Biology | 9 | 2% |
| Other | 38 | 7% |
| Unknown | 92 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 July 2020.
All research outputs
#16,209,966
of 24,657,405 outputs
Outputs from Psychopharmacology
#4,355
of 5,553 outputs
Outputs of similar age
#169,135
of 249,737 outputs
Outputs of similar age from Psychopharmacology
#30
of 39 outputs
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