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User-interactive electronic skin for instantaneous pressure visualization

Overview of attention for article published in Nature Materials, July 2013
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
8 news outlets
blogs
5 blogs
twitter
13 X users
patent
24 patents
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
1043 Dimensions

Readers on

mendeley
732 Mendeley
citeulike
1 CiteULike
Title
User-interactive electronic skin for instantaneous pressure visualization
Published in
Nature Materials, July 2013
DOI 10.1038/nmat3711
Pubmed ID
Authors

Chuan Wang, David Hwang, Zhibin Yu, Kuniharu Takei, Junwoo Park, Teresa Chen, Biwu Ma, Ali Javey

Abstract

Electronic skin (e-skin) presents a network of mechanically flexible sensors that can conformally wrap irregular surfaces and spatially map and quantify various stimuli. Previous works on e-skin have focused on the optimization of pressure sensors interfaced with an electronic readout, whereas user interfaces based on a human-readable output were not explored. Here, we report the first user-interactive e-skin that not only spatially maps the applied pressure but also provides an instantaneous visual response through a built-in active-matrix organic light-emitting diode display with red, green and blue pixels. In this system, organic light-emitting diodes (OLEDs) are turned on locally where the surface is touched, and the intensity of the emitted light quantifies the magnitude of the applied pressure. This work represents a system-on-plastic demonstration where three distinct electronic components--thin-film transistor, pressure sensor and OLED arrays--are monolithically integrated over large areas on a single plastic substrate. The reported e-skin may find a wide range of applications in interactive input/control devices, smart wallpapers, robotics and medical/health monitoring devices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 732 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 1%
United Kingdom 4 <1%
Korea, Republic of 2 <1%
Germany 2 <1%
Singapore 2 <1%
Canada 1 <1%
Switzerland 1 <1%
Australia 1 <1%
India 1 <1%
Other 3 <1%
Unknown 705 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 214 29%
Student > Master 102 14%
Researcher 91 12%
Student > Bachelor 47 6%
Student > Doctoral Student 35 5%
Other 93 13%
Unknown 150 20%
Readers by discipline Count As %
Engineering 261 36%
Materials Science 122 17%
Chemistry 51 7%
Physics and Astronomy 50 7%
Chemical Engineering 17 2%
Other 53 7%
Unknown 178 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 27 February 2024.
All research outputs
#296,769
of 24,667,989 outputs
Outputs from Nature Materials
#210
of 4,228 outputs
Outputs of similar age
#2,066
of 202,803 outputs
Outputs of similar age from Nature Materials
#2
of 60 outputs
Altmetric has tracked 24,667,989 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,228 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. This one has done particularly well, scoring higher than 95% 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 202,803 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 98% of its contemporaries.
We're also able to compare this research output to 60 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.