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Integrated 3D-printed reactionware for chemical synthesis and analysis

Overview of attention for article published in Nature Chemistry, April 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
7 news outlets
blogs
6 blogs
twitter
76 X users
patent
47 patents
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
539 Dimensions

Readers on

mendeley
738 Mendeley
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Title
Integrated 3D-printed reactionware for chemical synthesis and analysis
Published in
Nature Chemistry, April 2012
DOI 10.1038/nchem.1313
Pubmed ID
Authors

Mark D. Symes, Philip J. Kitson, Jun Yan, Craig J. Richmond, Geoffrey J. T. Cooper, Richard W. Bowman, Turlif Vilbrandt, Leroy Cronin

Abstract

Three-dimensional (3D) printing has the potential to transform science and technology by creating bespoke, low-cost appliances that previously required dedicated facilities to make. An attractive, but unexplored, application is to use a 3D printer to initiate chemical reactions by printing the reagents directly into a 3D reactionware matrix, and so put reactionware design, construction and operation under digital control. Here, using a low-cost 3D printer and open-source design software we produced reactionware for organic and inorganic synthesis, which included printed-in catalysts and other architectures with printed-in components for electrochemical and spectroscopic analysis. This enabled reactions to be monitored in situ so that different reactionware architectures could be screened for their efficacy for a given process, with a digital feedback mechanism for device optimization. Furthermore, solely by modifying reactionware architecture, reaction outcomes can be altered. Taken together, this approach constitutes a relatively cheap, automated and reconfigurable chemical discovery platform that makes techniques from chemical engineering accessible to typical synthetic laboratories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 76 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 738 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 2%
United Kingdom 9 1%
Australia 5 <1%
Japan 3 <1%
Sweden 2 <1%
France 2 <1%
Belgium 2 <1%
Denmark 2 <1%
Brazil 1 <1%
Other 8 1%
Unknown 688 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 213 29%
Researcher 106 14%
Student > Master 101 14%
Student > Bachelor 64 9%
Professor > Associate Professor 33 4%
Other 122 17%
Unknown 99 13%
Readers by discipline Count As %
Chemistry 253 34%
Engineering 122 17%
Materials Science 54 7%
Chemical Engineering 37 5%
Agricultural and Biological Sciences 31 4%
Other 101 14%
Unknown 140 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 165. 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 26 December 2023.
All research outputs
#251,148
of 25,718,113 outputs
Outputs from Nature Chemistry
#94
of 3,379 outputs
Outputs of similar age
#1,013
of 174,273 outputs
Outputs of similar age from Nature Chemistry
#1
of 51 outputs
Altmetric has tracked 25,718,113 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 3,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.0. This one has done particularly well, scoring higher than 97% 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 174,273 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 51 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.