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A Simple, Low-Cost Conductive Composite Material for 3D Printing of Electronic Sensors

Overview of attention for article published in PLOS ONE, November 2012
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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 (98th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
147 X users
patent
18 patents
facebook
12 Facebook pages
googleplus
8 Google+ users
reddit
4 Redditors
pinterest
3 Pinners

Citations

dimensions_citation
649 Dimensions

Readers on

mendeley
1212 Mendeley
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Title
A Simple, Low-Cost Conductive Composite Material for 3D Printing of Electronic Sensors
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049365
Pubmed ID
Authors

Simon J. Leigh, Robert J. Bradley, Christopher P. Purssell, Duncan R. Billson, David A. Hutchins

Abstract

3D printing technology can produce complex objects directly from computer aided digital designs. The technology has traditionally been used by large companies to produce fit and form concept prototypes ('rapid prototyping') before production. In recent years however there has been a move to adopt the technology as full-scale manufacturing solution. The advent of low-cost, desktop 3D printers such as the RepRap and Fab@Home has meant a wider user base are now able to have access to desktop manufacturing platforms enabling them to produce highly customised products for personal use and sale. This uptake in usage has been coupled with a demand for printing technology and materials able to print functional elements such as electronic sensors. Here we present formulation of a simple conductive thermoplastic composite we term 'carbomorph' and demonstrate how it can be used in an unmodified low-cost 3D printer to print electronic sensors able to sense mechanical flexing and capacitance changes. We show how this capability can be used to produce custom sensing devices and user interface devices along with printed objects with embedded sensing capability. This advance in low-cost 3D printing with offer a new paradigm in the 3D printing field with printed sensors and electronics embedded inside 3D printed objects in a single build process without requiring complex or expensive materials incorporating additives such as carbon nanotubes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 147 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 1,212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 1%
United Kingdom 6 <1%
Canada 3 <1%
Germany 2 <1%
Netherlands 2 <1%
Switzerland 2 <1%
Spain 2 <1%
Sweden 1 <1%
Finland 1 <1%
Other 9 <1%
Unknown 1171 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 297 25%
Student > Master 194 16%
Researcher 145 12%
Student > Bachelor 137 11%
Student > Doctoral Student 55 5%
Other 160 13%
Unknown 224 18%
Readers by discipline Count As %
Engineering 461 38%
Materials Science 138 11%
Chemistry 104 9%
Computer Science 45 4%
Agricultural and Biological Sciences 42 3%
Other 148 12%
Unknown 274 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 181. 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 23 January 2024.
All research outputs
#219,496
of 25,263,619 outputs
Outputs from PLOS ONE
#3,213
of 219,202 outputs
Outputs of similar age
#1,357
of 288,472 outputs
Outputs of similar age from PLOS ONE
#50
of 4,700 outputs
Altmetric has tracked 25,263,619 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 219,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 98% 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 288,472 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 4,700 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.