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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Model Reference Predictive Adaptive Control for Large-Scale Soft Robots
|
|---|---|
| Published in |
Frontiers in Robotics and AI, October 2020
|
| DOI | 10.3389/frobt.2020.558027 |
| Pubmed ID | |
| Authors |
Phillip Hyatt, Curtis C. Johnson, Marc D. Killpack |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 31% |
| Student > Bachelor | 4 | 15% |
| Other | 1 | 4% |
| Professor | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 50% |
| Computer Science | 3 | 12% |
| Unknown | 10 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 October 2020.
All research outputs
#20,653,779
of 23,248,929 outputs
Outputs from Frontiers in Robotics and AI
#1,522
of 1,533 outputs
Outputs of similar age
#353,348
of 412,945 outputs
Outputs of similar age from Frontiers in Robotics and AI
#59
of 61 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 412,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.