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Engineering reaction–diffusion networks with properties of neural tissue

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 3,817)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
15 news outlets
blogs
3 blogs
twitter
8 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 Mendeley
Title
Engineering reaction–diffusion networks with properties of neural tissue
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2018
DOI 10.1039/c7lc01187c
Pubmed ID
Authors

Thomas Litschel, Michael M. Norton, Vardges Tserunyan, Seth Fraden

Abstract

We present an experimental system of networks of coupled non-linear chemical reactors, which we theoretically model within a reaction-diffusion framework. The networks consist of patterned arrays of diffusively coupled nanoliter-scale reactors containing the Belousov-Zhabotinsky (BZ) reaction. Microfluidic fabrication techniques are developed that provide the ability to vary the network topology and the reactor coupling strength and offer the freedom to choose whether an arbitrary reactor is inhibitory or excitatory coupled to its neighbor. This versatile experimental and theoretical framework can be used to create a wide variety of chemical networks. Here we design, construct and characterize chemical networks that achieve the complexity of central pattern generators (CPGs), which are found in the autonomic nervous system of a variety of organisms.

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.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Researcher 4 17%
Student > Bachelor 4 17%
Student > Master 3 13%
Unspecified 2 8%
Other 5 21%
Readers by discipline Count As %
Physics and Astronomy 5 21%
Chemical Engineering 3 13%
Unspecified 3 13%
Chemistry 3 13%
Linguistics 2 8%
Other 8 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 22 August 2018.
All research outputs
#94,046
of 12,167,359 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#13
of 3,817 outputs
Outputs of similar age
#5,316
of 336,106 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#1
of 47 outputs
Altmetric has tracked 12,167,359 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 3,817 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 336,106 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 47 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 97% of its contemporaries.