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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A hyperbolic decay of subjective probability of obtaining delayed rewards
|
|---|---|
| Published in |
Behavioral and Brain Functions, September 2007
|
| DOI | 10.1186/1744-9081-3-52 |
| Pubmed ID | |
| Authors |
Taiki Takahashi, Koki Ikeda, Toshikazu Hasegawa |
| Abstract |
Hyperbolic discounting of delayed and probabilistic outcomes has drawn attention in psychopharmacology and neuroeconomics. Sozou's evolutionary theory proposed that hyperbolic delay discounting may be totally attributable to aversion to a decrease in subjective probability of obtaining delayed rewards (SP) which follows a hyperbolic decay function. However, to date, no empirical study examined the hypothesis, although this investigation is important for elucidating the roles of impatience, precaution, and uncertainty aversion in delay discounting processes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Belgium | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 21% |
| Researcher | 15 | 19% |
| Student > Doctoral Student | 10 | 12% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 37% |
| Neuroscience | 10 | 12% |
| Medicine and Dentistry | 5 | 6% |
| Agricultural and Biological Sciences | 5 | 6% |
| Economics, Econometrics and Finance | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 14 | 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 01 August 2023.
All research outputs
#15,740,207
of 25,374,917 outputs
Outputs from Behavioral and Brain Functions
#218
of 417 outputs
Outputs of similar age
#71,595
of 84,082 outputs
Outputs of similar age from Behavioral and Brain Functions
#3
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 45th percentile – i.e., 45% 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 84,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.