| Title |
A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot
|
|---|---|
| Published in |
Autonomous Robots, August 2009
|
| DOI | 10.1007/s10514-009-9130-2 |
| Authors |
Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, José Castellanos, Arnaud Doucet |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 2 | <1% |
| France | 2 | <1% |
| Switzerland | 1 | <1% |
| Malaysia | 1 | <1% |
| Chile | 1 | <1% |
| Finland | 1 | <1% |
| Ireland | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 242 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 30% |
| Student > Master | 50 | 19% |
| Researcher | 34 | 13% |
| Student > Bachelor | 19 | 7% |
| Student > Doctoral Student | 18 | 7% |
| Other | 32 | 12% |
| Unknown | 31 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 104 | 39% |
| Computer Science | 90 | 34% |
| Agricultural and Biological Sciences | 7 | 3% |
| Neuroscience | 5 | 2% |
| Chemistry | 3 | 1% |
| Other | 17 | 6% |
| Unknown | 38 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 September 2023.
All research outputs
#4,110,514
of 24,473,185 outputs
Outputs from Autonomous Robots
#35
of 537 outputs
Outputs of similar age
#17,401
of 115,936 outputs
Outputs of similar age from Autonomous Robots
#3
of 8 outputs
Altmetric has tracked 24,473,185 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 115,936 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 84% of its contemporaries.
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.