You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adaptive Prior Selection for Repertoire-Based Online Adaptation in Robotics
|
|---|---|
| Published in |
Frontiers in Robotics and AI, January 2020
|
| DOI | 10.3389/frobt.2019.00151 |
| Pubmed ID | |
| Authors |
Rituraj Kaushik, Pierre Desreumaux, Jean-Baptiste Mouret |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 6% |
| France | 1 | 6% |
| Cyprus | 1 | 6% |
| Finland | 1 | 6% |
| United States | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 12 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Scientists | 3 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 20% |
| Student > Ph. D. Student | 8 | 20% |
| Student > Doctoral Student | 5 | 12% |
| Lecturer | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 32% |
| Computer Science | 13 | 32% |
| Arts and Humanities | 1 | 2% |
| Energy | 1 | 2% |
| Decision Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 29% |
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 10 January 2023.
All research outputs
#4,209,883
of 25,385,509 outputs
Outputs from Frontiers in Robotics and AI
#274
of 1,768 outputs
Outputs of similar age
#94,285
of 476,086 outputs
Outputs of similar age from Frontiers in Robotics and AI
#13
of 49 outputs
Altmetric has tracked 25,385,509 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 1,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 84% 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 476,086 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 80% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.