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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Observed and Normative Discount Functions in Addiction and other Diseases
|
|---|---|
| Published in |
Frontiers in Pharmacology, June 2017
|
| DOI | 10.3389/fphar.2017.00416 |
| Pubmed ID | |
| Authors |
Salvador Cruz Rambaud, María J. Muñoz Torrecillas, Taiki Takahashi |
| Abstract |
The aim of this paper is to find a suitable discount function able to describe the progression of a certain addiction or disease under treatment as a discounting process. In effect, a certain indicator related to a disease decays over time in a manner which is mathematically similar to the way in which discounting has been modeled. We analyze the discount functions observed in experiments which study addictive and other problematic behaviors as well as some alternative hyperbola-like discount functions in order to fit the patience exhibited by the subject after receiving the treatment. Additionally, it has been experimentally found that people with addiction display high rates of discount (impatience) and preference reversals (dynamic inconsistency). This excessive discounting must be correctly modeled by a suitable discount function, otherwise, it can become a trans-disease process underlying addiction and other disorders. The (generalized) exponentiated hyperbolic discount function is proposed to describe the progression of a disease with respect to the treatment, since it maintains the property of inconsistency by exhibiting a decreasing discount rate after an initial period in which the opposite occurs. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 4 | 25% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 44% |
| Environmental Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Social Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 July 2017.
All research outputs
#20,431,953
of 22,985,065 outputs
Outputs from Frontiers in Pharmacology
#10,172
of 16,266 outputs
Outputs of similar age
#274,996
of 315,315 outputs
Outputs of similar age from Frontiers in Pharmacology
#170
of 255 outputs
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So far Altmetric has tracked 16,266 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.