| Title |
Model predictive control for fast reaching in clutter
|
|---|---|
| Published in |
Autonomous Robots, September 2015
|
| DOI | 10.1007/s10514-015-9492-6 |
| Authors |
Marc D. Killpack, Ariel Kapusta, Charles C. Kemp |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 35% |
| Researcher | 8 | 15% |
| Student > Master | 6 | 11% |
| Professor | 6 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 35 | 64% |
| Computer Science | 9 | 16% |
| Energy | 1 | 2% |
| Unknown | 10 | 18% |
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 05 May 2021.
All research outputs
#6,799,316
of 22,829,083 outputs
Outputs from Autonomous Robots
#103
of 518 outputs
Outputs of similar age
#82,437
of 274,965 outputs
Outputs of similar age from Autonomous Robots
#3
of 35 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 518 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 77% 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 274,965 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 69% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.