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Knitting and weaving artificial muscles

Overview of attention for article published in Science Advances, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
36 news outlets
blogs
2 blogs
twitter
48 X users
patent
8 patents
facebook
10 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Citations

dimensions_citation
297 Dimensions

Readers on

mendeley
424 Mendeley
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Title
Knitting and weaving artificial muscles
Published in
Science Advances, January 2017
DOI 10.1126/sciadv.1600327
Pubmed ID
Authors

Ali Maziz, Alessandro Concas, Alexandre Khaldi, Jonas Stålhand, Nils-Krister Persson, Edwin W. H. Jager

Abstract

A need exists for artificial muscles that are silent, soft, and compliant, with performance characteristics similar to those of skeletal muscle, enabling natural interaction of assistive devices with humans. By combining one of humankind's oldest technologies, textile processing, with electroactive polymers, we demonstrate here the feasibility of wearable, soft artificial muscles made by weaving and knitting, with tunable force and strain. These textile actuators were produced from cellulose yarns assembled into fabrics and coated with conducting polymers using a metal-free deposition. To increase the output force, we assembled yarns in parallel by weaving. The force scaled linearly with the number of yarns in the woven fabric. To amplify the strain, we knitted a stretchable fabric, exhibiting a 53-fold increase in strain. In addition, the textile construction added mechanical stability to the actuators. Textile processing permits scalable and rational production of wearable artificial muscles, and enables novel ways to design assistive devices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 424 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
Turkey 1 <1%
Latvia 1 <1%
France 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 415 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 22%
Researcher 58 14%
Student > Master 58 14%
Student > Doctoral Student 31 7%
Student > Bachelor 29 7%
Other 54 13%
Unknown 100 24%
Readers by discipline Count As %
Engineering 145 34%
Materials Science 56 13%
Chemistry 22 5%
Design 15 4%
Chemical Engineering 13 3%
Other 58 14%
Unknown 115 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 322. 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 30 January 2024.
All research outputs
#104,157
of 25,382,440 outputs
Outputs from Science Advances
#1,020
of 12,215 outputs
Outputs of similar age
#2,496
of 422,427 outputs
Outputs of similar age from Science Advances
#19
of 120 outputs
Altmetric has tracked 25,382,440 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 12,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.3. 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 422,427 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 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.