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An autonomously electrically self-healing liquid metal–elastomer composite for robust soft-matter robotics and electronics

Overview of attention for article published in Nature Materials, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 4,039)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
42 news outlets
blogs
10 blogs
twitter
50 tweeters
patent
1 patent
facebook
4 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
video
2 video uploaders

Citations

dimensions_citation
577 Dimensions

Readers on

mendeley
469 Mendeley
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Title
An autonomously electrically self-healing liquid metal–elastomer composite for robust soft-matter robotics and electronics
Published in
Nature Materials, May 2018
DOI 10.1038/s41563-018-0084-7
Pubmed ID
Authors

Eric J. Markvicka, Michael D. Bartlett, Xiaonan Huang, Carmel Majidi

Abstract

Large-area stretchable electronics are critical for progress in wearable computing, soft robotics and inflatable structures. Recent efforts have focused on engineering electronics from soft materials-elastomers, polyelectrolyte gels and liquid metal. While these materials enable elastic compliance and deformability, they are vulnerable to tearing, puncture and other mechanical damage modes that cause electrical failure. Here, we introduce a material architecture for soft and highly deformable circuit interconnects that are electromechanically stable under typical loading conditions, while exhibiting uncompromising resilience to mechanical damage. The material is composed of liquid metal droplets suspended in a soft elastomer; when damaged, the droplets rupture to form new connections with neighbours and re-route electrical signals without interruption. Since self-healing occurs spontaneously, these materials do not require manual repair or external heat. We demonstrate this unprecedented electronic robustness in a self-repairing digital counter and self-healing soft robotic quadruped that continue to function after significant damage.

Twitter Demographics

The data shown below were collected from the profiles of 50 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 469 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 469 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 134 29%
Student > Master 58 12%
Researcher 44 9%
Student > Bachelor 30 6%
Student > Doctoral Student 20 4%
Other 50 11%
Unknown 133 28%
Readers by discipline Count As %
Engineering 153 33%
Materials Science 73 16%
Chemistry 40 9%
Chemical Engineering 20 4%
Physics and Astronomy 8 2%
Other 21 4%
Unknown 154 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 427. 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 08 August 2022.
All research outputs
#57,553
of 23,400,864 outputs
Outputs from Nature Materials
#20
of 4,039 outputs
Outputs of similar age
#1,491
of 331,055 outputs
Outputs of similar age from Nature Materials
#2
of 74 outputs
Altmetric has tracked 23,400,864 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 4,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.5. This one has done particularly well, scoring higher than 99% 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 331,055 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 74 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 98% of its contemporaries.