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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a Multi-functional Soft Robot (SNUMAX) and Performance in RoboSoft Grand Challenge
|
|---|---|
| Published in |
Frontiers in Robotics and AI, October 2016
|
| DOI | 10.3389/frobt.2016.00063 |
| Authors |
Jun-Young Lee, Brian Byunghyun Kang, Dae-Young Lee, Sang-Min Baek, Woong-Bae Kim, Woo-Young Choi, Jeong-Ryul Song, Hyeong-Joon Joo, Daegeun Park, Kyu-Jin Cho |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| United Kingdom | 2 | 25% |
| Switzerland | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 20% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Researcher | 5 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 69% |
| Unspecified | 2 | 4% |
| Mathematics | 1 | 2% |
| Computer Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 20 January 2017.
All research outputs
#4,511,771
of 22,893,031 outputs
Outputs from Frontiers in Robotics and AI
#292
of 1,503 outputs
Outputs of similar age
#76,197
of 316,298 outputs
Outputs of similar age from Frontiers in Robotics and AI
#8
of 20 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 80% 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 316,298 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 75% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.