| Title |
A reinforcement learning diffusion decision model for value-based decisions
|
|---|---|
| Published in |
Psychonomic Bulletin & Review, March 2019
|
| DOI | 10.3758/s13423-018-1554-2 |
| Pubmed ID | |
| Authors |
Laura Fontanesi, Sebastian Gluth, Mikhail S. Spektor, Jörg Rieskamp |
X Demographics
The data shown below were collected from the profiles of 25 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 | 5 | 20% |
| France | 3 | 12% |
| Germany | 3 | 12% |
| United Kingdom | 3 | 12% |
| Switzerland | 3 | 12% |
| Norway | 1 | 4% |
| Denmark | 1 | 4% |
| Netherlands | 1 | 4% |
| Myanmar | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 16% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 52% |
| Members of the public | 11 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 213 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 21% |
| Student > Master | 37 | 17% |
| Researcher | 24 | 11% |
| Student > Bachelor | 20 | 9% |
| Student > Doctoral Student | 11 | 5% |
| Other | 24 | 11% |
| Unknown | 53 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 65 | 31% |
| Neuroscience | 37 | 17% |
| Engineering | 10 | 5% |
| Computer Science | 7 | 3% |
| Social Sciences | 7 | 3% |
| Other | 22 | 10% |
| Unknown | 65 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 June 2022.
All research outputs
#2,387,415
of 25,988,468 outputs
Outputs from Psychonomic Bulletin & Review
#241
of 1,169 outputs
Outputs of similar age
#51,503
of 366,800 outputs
Outputs of similar age from Psychonomic Bulletin & Review
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 99% 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 366,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them