| Title |
Emergence of robust self-organized undulatory swimming based on local hydrodynamic force sensing
|
|---|---|
| Published in |
Science Robotics, August 2021
|
| DOI | 10.1126/scirobotics.abf6354 |
| Pubmed ID | |
| Authors |
Robin Thandiackal, Kamilo Melo, Laura Paez, Johann Herault, Takeshi Kano, Kyoichi Akiyama, Frédéric Boyer, Dimitri Ryczko, Akio Ishiguro, Auke J Ijspeert |
X Demographics
The data shown below were collected from the profiles of 276 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 | 39 | 14% |
| United Kingdom | 11 | 4% |
| India | 11 | 4% |
| Japan | 8 | 3% |
| Switzerland | 8 | 3% |
| France | 7 | 3% |
| Mexico | 5 | 2% |
| Spain | 4 | 1% |
| Australia | 3 | 1% |
| Other | 48 | 17% |
| Unknown | 132 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 225 | 82% |
| Scientists | 42 | 15% |
| Science communicators (journalists, bloggers, editors) | 7 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Researcher | 9 | 11% |
| Student > Master | 9 | 11% |
| Professor | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 34 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 38% |
| Computer Science | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 38 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 325. 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 18 March 2024.
All research outputs
#104,825
of 25,718,113 outputs
Outputs from Science Robotics
#94
of 640 outputs
Outputs of similar age
#3,128
of 438,706 outputs
Outputs of similar age from Science Robotics
#3
of 29 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 166.8. This one has done well, scoring higher than 85% 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 438,706 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.