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PNAS

Testing Turing’s theory of morphogenesis in chemical cells

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, March 2014
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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 (91st percentile)

Citations

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175 Dimensions

Readers on

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220 Mendeley
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3 CiteULike
Title
Testing Turing’s theory of morphogenesis in chemical cells
Published in
Proceedings of the National Academy of Sciences of the United States of America, March 2014
DOI 10.1073/pnas.1322005111
Pubmed ID
Authors

Nathan Tompkins, Ning Li, Camille Girabawe, Michael Heymann, G. Bard Ermentrout, Irving R. Epstein, Seth Fraden

Abstract

Alan Turing, in "The Chemical Basis of Morphogenesis" [Turing AM (1952) Philos Trans R Soc Lond 237(641):37-72], described how, in circular arrays of identical biological cells, diffusion can interact with chemical reactions to generate up to six periodic spatiotemporal chemical structures. Turing proposed that one of these structures, a stationary pattern with a chemically determined wavelength, is responsible for differentiation. We quantitatively test Turing's ideas in a cellular chemical system consisting of an emulsion of aqueous droplets containing the Belousov-Zhabotinsky oscillatory chemical reactants, dispersed in oil, and demonstrate that reaction-diffusion processes lead to chemical differentiation, which drives physical morphogenesis in chemical cells. We observe five of the six structures predicted by Turing. In 2D hexagonal arrays, a seventh structure emerges, incompatible with Turing's original model, which we explain by modifying the theory to include heterogeneity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 4%
United Kingdom 3 1%
France 1 <1%
Israel 1 <1%
Lithuania 1 <1%
Sweden 1 <1%
Spain 1 <1%
Argentina 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 200 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 22%
Researcher 47 21%
Student > Master 24 11%
Professor 23 10%
Student > Bachelor 15 7%
Other 33 15%
Unknown 30 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 20%
Physics and Astronomy 42 19%
Chemistry 18 8%
Biochemistry, Genetics and Molecular Biology 17 8%
Engineering 17 8%
Other 46 21%
Unknown 36 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 147. 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 25 September 2021.
All research outputs
#274,343
of 25,081,505 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#5,082
of 102,340 outputs
Outputs of similar age
#2,241
of 226,938 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#82
of 1,000 outputs
Altmetric has tracked 25,081,505 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 102,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. 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 226,938 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 1,000 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 91% of its contemporaries.