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A highly stretchable autonomous self-healing elastomer

Overview of attention for article published in Nature Chemistry, April 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 (#14 of 2,252)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
25 news outlets
blogs
9 blogs
policy
1 policy source
twitter
71 tweeters
facebook
6 Facebook pages
video
1 video uploader

Citations

dimensions_citation
279 Dimensions

Readers on

mendeley
500 Mendeley
Title
A highly stretchable autonomous self-healing elastomer
Published in
Nature Chemistry, April 2016
DOI 10.1038/nchem.2492
Pubmed ID
Authors

Cheng-Hui Li, Chao Wang, Christoph Keplinger, Jing-Lin Zuo, Lihua Jin, Yang Sun, Peng Zheng, Yi Cao, Franziska Lissel, Christian Linder, Xiao-Zeng You, Zhenan Bao

Abstract

It is a challenge to synthesize materials that possess the properties of biological muscles-strong, elastic and capable of self-healing. Herein we report a network of poly(dimethylsiloxane) polymer chains crosslinked by coordination complexes that combines high stretchability, high dielectric strength, autonomous self-healing and mechanical actuation. The healing process can take place at a temperature as low as -20 °C and is not significantly affected by surface ageing and moisture. The crosslinking complexes used consist of 2,6-pyridinedicarboxamide ligands that coordinate to Fe(III) centres through three different interactions: a strong pyridyl-iron one, and two weaker carboxamido-iron ones through both the nitrogen and oxygen atoms of the carboxamide groups. As a result, the iron-ligand bonds can readily break and re-form while the iron centres still remain attached to the ligands through the stronger interaction with the pyridyl ring, which enables reversible unfolding and refolding of the chains. We hypothesize that this behaviour supports the high stretchability and self-healing capability of the material.

Twitter Demographics

The data shown below were collected from the profiles of 71 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 500 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
South Africa 1 <1%
Brazil 1 <1%
Chile 1 <1%
Israel 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 485 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 172 34%
Researcher 69 14%
Student > Master 67 13%
Student > Bachelor 45 9%
Student > Doctoral Student 29 6%
Other 62 12%
Unknown 56 11%
Readers by discipline Count As %
Chemistry 157 31%
Materials Science 102 20%
Engineering 91 18%
Chemical Engineering 33 7%
Physics and Astronomy 10 2%
Other 29 6%
Unknown 78 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 290. 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 15 November 2019.
All research outputs
#43,114
of 13,907,097 outputs
Outputs from Nature Chemistry
#14
of 2,252 outputs
Outputs of similar age
#1,713
of 262,403 outputs
Outputs of similar age from Nature Chemistry
#2
of 61 outputs
Altmetric has tracked 13,907,097 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 2,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. 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 262,403 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 61 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.