| Title |
The non-stationary stochastic multi-armed bandit problem
|
|---|---|
| Published in |
International Journal of Data Science and Analytics, March 2017
|
| DOI | 10.1007/s41060-017-0050-5 |
| Authors |
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard |
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 % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Japan | 2 | 2% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Switzerland | 1 | <1% |
| Taiwan | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 102 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 31% |
| Student > Master | 14 | 12% |
| Researcher | 11 | 10% |
| Student > Bachelor | 10 | 9% |
| Student > Postgraduate | 6 | 5% |
| Other | 11 | 10% |
| Unknown | 26 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 37% |
| Engineering | 19 | 17% |
| Mathematics | 9 | 8% |
| Agricultural and Biological Sciences | 3 | 3% |
| Economics, Econometrics and Finance | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 28 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 October 2021.
All research outputs
#6,667,976
of 23,560,187 outputs
Outputs from International Journal of Data Science and Analytics
#1
of 1 outputs
Outputs of similar age
#105,633
of 310,156 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#1
of 1 outputs
Altmetric has tracked 23,560,187 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 310,156 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% 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