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X Demographics
Mendeley readers
Attention Score in Context
Title |
Catastrophic Thinning of Dielectric Elastomers
|
---|---|
Published in |
Physical Review Letters, February 2017
|
DOI | 10.1103/physrevlett.118.078001 |
Pubmed ID | |
Authors |
G. Zurlo, M. Destrade, D. DeTommasi, G. Puglisi |
Abstract |
We provide an energetic insight into the catastrophic nature of thinning instability in soft electroactive elastomers. This phenomenon is a major obstacle to the development of giant actuators, yet it is neither completely understood nor modeled accurately. In excellent agreement with experiments, we give a simple formula to predict the critical voltages for instability patterns; we model their shape and show that reversible (elastic) equilibrium is impossible beyond their onset. Our derivation is fully analytical, does not require finite element simulations, and can be extended to include prestretch and various material models. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 2 | 67% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 4% |
France | 1 | 2% |
Unknown | 53 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 30% |
Researcher | 9 | 16% |
Professor | 5 | 9% |
Student > Master | 4 | 7% |
Professor > Associate Professor | 3 | 5% |
Other | 9 | 16% |
Unknown | 9 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 27 | 48% |
Physics and Astronomy | 5 | 9% |
Materials Science | 4 | 7% |
Chemical Engineering | 3 | 5% |
Mathematics | 2 | 4% |
Other | 3 | 5% |
Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 17 April 2017.
All research outputs
#916,417
of 22,953,506 outputs
Outputs from Physical Review Letters
#2,945
of 35,786 outputs
Outputs of similar age
#24,326
of 454,401 outputs
Outputs of similar age from Physical Review Letters
#82
of 553 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. 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 454,401 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 94% of its contemporaries.
We're also able to compare this research output to 553 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.