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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Swarm-Enabling Technology for Multi-Robot Systems
|
|---|---|
| Published in |
Frontiers in Robotics and AI, April 2017
|
| DOI | 10.3389/frobt.2017.00012 |
| Authors |
Mohammadreza Chamanbaz, David Mateo, Brandon M. Zoss, Grgur Tokić, Erik Wilhelm, Roland Bouffanais, Dick K. P. Yue |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| United Kingdom | 1 | 8% |
| Switzerland | 1 | 8% |
| Guinea-Bissau | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Scientists | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 23% |
| Student > Master | 23 | 19% |
| Researcher | 16 | 13% |
| Student > Bachelor | 15 | 12% |
| Professor | 4 | 3% |
| Other | 16 | 13% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 59 | 48% |
| Computer Science | 25 | 20% |
| Agricultural and Biological Sciences | 3 | 2% |
| Environmental Science | 2 | 2% |
| Mathematics | 1 | <1% |
| Other | 7 | 6% |
| Unknown | 26 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 06 November 2022.
All research outputs
#2,006,866
of 23,342,092 outputs
Outputs from Frontiers in Robotics and AI
#129
of 1,542 outputs
Outputs of similar age
#39,933
of 311,256 outputs
Outputs of similar age from Frontiers in Robotics and AI
#3
of 10 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 91% 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 311,256 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 87% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.