| Title |
Elastic Energy Storage Enables Rapid and Programmable Actuation in Soft Machines
|
|---|---|
| Published in |
Advanced Functional Materials, October 2019
|
| DOI | 10.1002/adfm.201906603 |
| Authors |
Aniket Pal, Debkalpa Goswami, Ramses V. Martinez |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Switzerland | 1 | 10% |
| Hong Kong | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 24% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 10 | 9% |
| Researcher | 9 | 8% |
| Student > Bachelor | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 34 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 51 | 45% |
| Materials Science | 8 | 7% |
| Chemical Engineering | 3 | 3% |
| Computer Science | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 40 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 10 January 2020.
All research outputs
#440,580
of 23,170,347 outputs
Outputs from Advanced Functional Materials
#193
of 8,711 outputs
Outputs of similar age
#10,705
of 361,448 outputs
Outputs of similar age from Advanced Functional Materials
#7
of 181 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,711 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 97% 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 361,448 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 97% of its contemporaries.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.