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Unconventional Computation

Overview of attention for book
Cover of 'Unconventional Computation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Computations Inspired from the Brain
  3. Altmetric Badge
    Chapter 2 Algebras and Languages for Molecular Programming
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    Chapter 3 A Computational Journey into Nonlinearity
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    Chapter 4 Computable Scientists, Uncomputable World
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    Chapter 5 Finite State Transducers with Intuition
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    Chapter 6 Reversibility and Determinism in Sequential Multiset Rewriting
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    Chapter 7 Synchronization in P Modules
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    Chapter 8 On Universality of Radius 1/2 Number-Conserving Cellular Automata
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    Chapter 9 DNA Origami as Self-assembling Circuit Boards
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    Chapter 10 Tug-of-War Model for Multi-armed Bandit Problem
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    Chapter 11 Characterising Enzymes for Information Processing: Towards an Artificial Experimenter
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    Chapter 12 Majority Adder Implementation by Competing Patterns in Life-Like Rule B2/S2345
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    Chapter 13 Solving Partial Differential Equation via Stochastic Process
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    Chapter 14 Postselection Finite Quantum Automata
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    Chapter 15 A New Representation of Chaitin Ω Number Based on Compressible Strings
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    Chapter 16 Quantum Query Algorithms for Conjunctions
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    Chapter 17 Universal Continuous Variable Quantum Computation in the Micromaser
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    Chapter 18 Quantum Computation with Devices Whose Contents Are Never Read
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    Chapter 19 The Extended Glider-Eater Machine in the Spiral Rule
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    Chapter 20 Formalizing the Behavior of Biological Processes with Mobility
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    Chapter 21 Quantum Finite State Automata over Infinite Words
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    Chapter 22 A Geometrical Allosteric DNA Switch
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    Chapter 23 Properties of “Planar Binary (Butchi Number)”
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    Chapter 24 Characterising Enzymes for Information Processing: Microfluidics for Autonomous Experimentation
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    Chapter 25 Inference with DNA Molecules
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    Chapter 26 A Network-Based Computational Model with Learning
  28. Altmetric Badge
    Chapter 27 Image Processing with Neuron-Like Branching Elements (POSTER)
Overall attention for this book and its chapters
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Citations

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Title
Unconventional Computation
Published by
ADS, January 2010
DOI 10.1007/978-3-642-13523-1
ISBNs
978-3-64-213522-4, 978-3-64-213523-1
Editors

Cristian S. Calude, Masami Hagiya, Kenichi Morita, Grzegorz Rozenberg, Jon Timmis

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Physics and Astronomy 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 January 2022.
All research outputs
#14,600,434
of 25,576,275 outputs
Outputs from ADS
#17,714
of 26,107 outputs
Outputs of similar age
#138,752
of 173,574 outputs
Outputs of similar age from ADS
#447
of 612 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,107 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 173,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.