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A Transparent, Self-Healing, Highly Stretchable Ionic Conductor

Overview of attention for article published in Advanced Materials, December 2016
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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 (#11 of 9,802)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
39 news outlets
blogs
5 blogs
twitter
9 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
271 Mendeley
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Title
A Transparent, Self-Healing, Highly Stretchable Ionic Conductor
Published in
Advanced Materials, December 2016
DOI 10.1002/adma.201605099
Pubmed ID
Authors

Yue Cao, Timothy G. Morrissey, Eric Acome, Sarah I. Allec, Bryan M. Wong, Christoph Keplinger, Chao Wang

Abstract

Self-healing materials can repair damage caused by mechanical wear, thereby extending lifetime of devices. Here, a transparent, self-healing, highly stretchable ionic conductor is presented that autonomously heals after experiencing severe mechanical damage. The design of this self-healing polymer uses ion-dipole interactions as the dynamic motif. The unique properties of this material when used to electrically activate transparent artificial muscles are demonstrated.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Unknown 269 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 26%
Student > Master 43 16%
Researcher 38 14%
Student > Bachelor 28 10%
Student > Doctoral Student 17 6%
Other 31 11%
Unknown 44 16%
Readers by discipline Count As %
Engineering 58 21%
Materials Science 56 21%
Chemistry 48 18%
Chemical Engineering 16 6%
Unspecified 15 6%
Other 24 9%
Unknown 54 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 320. 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 11 April 2017.
All research outputs
#42,396
of 14,613,233 outputs
Outputs from Advanced Materials
#11
of 9,802 outputs
Outputs of similar age
#2,232
of 377,129 outputs
Outputs of similar age from Advanced Materials
#1
of 177 outputs
Altmetric has tracked 14,613,233 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 9,802 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 377,129 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 177 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 99% of its contemporaries.