| 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 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 3 | 38% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 367 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 366 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 95 | 26% |
| Student > Master | 60 | 16% |
| Researcher | 42 | 11% |
| Student > Bachelor | 25 | 7% |
| Student > Doctoral Student | 17 | 5% |
| Other | 35 | 10% |
| Unknown | 93 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 76 | 21% |
| Engineering | 69 | 19% |
| Chemistry | 59 | 16% |
| Chemical Engineering | 19 | 5% |
| Physics and Astronomy | 9 | 2% |
| Other | 24 | 7% |
| Unknown | 111 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 319. 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
#98,180
of 24,180,797 outputs
Outputs from Advanced Materials
#30
of 15,974 outputs
Outputs of similar age
#2,385
of 428,118 outputs
Outputs of similar age from Advanced Materials
#2
of 201 outputs
Altmetric has tracked 24,180,797 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 15,974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 428,118 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 201 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.