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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Robot Learning From Randomized Simulations: A Review
|
|---|---|
| Published in |
Frontiers in Robotics and AI, April 2022
|
| DOI | 10.3389/frobt.2022.799893 |
| Pubmed ID | |
| Authors |
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 2 | 22% |
| Tanzania, United Republic of | 1 | 11% |
| United States | 1 | 11% |
| Switzerland | 1 | 11% |
| Germany | 1 | 11% |
| India | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Researcher | 8 | 10% |
| Student > Master | 7 | 8% |
| Professor | 3 | 4% |
| Other | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 41 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 25% |
| Computer Science | 15 | 18% |
| Unspecified | 1 | 1% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Chemical Engineering | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 41 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 27 October 2022.
All research outputs
#3,074,706
of 25,155,561 outputs
Outputs from Frontiers in Robotics and AI
#194
of 1,736 outputs
Outputs of similar age
#67,361
of 436,820 outputs
Outputs of similar age from Frontiers in Robotics and AI
#6
of 105 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 88% 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 436,820 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 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.