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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design, Modeling, and Visual Learning-Based Control of Soft Robotic Fish Driven by Super-Coiled Polymers
|
|---|---|
| Published in |
Frontiers in Robotics and AI, March 2022
|
| DOI | 10.3389/frobt.2021.809427 |
| Pubmed ID | |
| Authors |
Sunil Kumar Rajendran, Feitian Zhang |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| India | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 17% |
| Student > Master | 3 | 17% |
| Unspecified | 1 | 6% |
| Researcher | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 39% |
| Psychology | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 9 | 50% |
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 07 March 2022.
All research outputs
#15,674,939
of 23,292,144 outputs
Outputs from Frontiers in Robotics and AI
#1,054
of 1,538 outputs
Outputs of similar age
#251,941
of 440,348 outputs
Outputs of similar age from Frontiers in Robotics and AI
#83
of 105 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 24th percentile – i.e., 24% 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 440,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
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 is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.