| Title |
Designing a quasi-spherical module for a huge modular robot to create programmable matter
|
|---|---|
| Published in |
Autonomous Robots, February 2018
|
| DOI | 10.1007/s10514-018-9710-0 |
| Authors |
Benoit Piranda, Julien Bourgeois |
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 > Ph. D. Student | 5 | 19% |
| Professor | 4 | 15% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 42% |
| Computer Science | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 38% |
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 15 December 2023.
All research outputs
#5,146,499
of 25,097,836 outputs
Outputs from Autonomous Robots
#54
of 550 outputs
Outputs of similar age
#116,761
of 485,943 outputs
Outputs of similar age from Autonomous Robots
#2
of 7 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 550 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 90% 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 485,943 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.