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Unconventional Computation

Overview of attention for book
Cover of 'Unconventional Computation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Graph Machines and Their Applications to Computer-Aided Drug Design: A New Approach to Learning from Structured Data
  3. Altmetric Badge
    Chapter 2 Rational Models of Cognitive Control
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    Chapter 3 Fault-Tolerance in Biochemical Systems
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    Chapter 4 Optical Computing and Computational Complexity
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    Chapter 5 If a Tree Casts a Shadow Is It Telling the Time?
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    Chapter 6 Peptide Computing – Universality and Theoretical Model
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    Chapter 7 Handling Markov Chains with Membrane Computing
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    Chapter 8 Approximation Classes for Real Number Optimization Problems
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    Chapter 9 Physical Systems as Constructive Logics
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    Chapter 10 On Spiking Neural P Systems and Partially Blind Counter Machines
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    Chapter 11 Chemical Information Processing Devices Constructed Using a Nonlinear Medium with Controlled Excitability
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    Chapter 12 Flexible Versus Rigid Tile Assembly
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    Chapter 13 On Pure Catalytic P Systems
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    Chapter 14 Mapping Non-conventional Extensions of Genetic Programming
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    Chapter 15 The Number of Orbits of Periodic Box-Ball Systems
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    Chapter 16 The Euclid Abstract Machine: Trisection of the Angle and the Halting Problem
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    Chapter 17 1/f Noise in Elementary Cellular Automaton Rule 110
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    Chapter 18 A Light-Based Device for Solving the Hamiltonian Path Problem
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    Chapter 19 Optimizing Potential Information Transfer with Self-referential Memory
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    Chapter 20 On the Power of Bio-Turing Machines
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    Chapter 21 Ergodic Dynamics for Large-Scale Distributed Robot Systems
Overall attention for this book and its chapters
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Mentioned by

wikipedia
9 Wikipedia pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Unconventional Computation
Published by
arXiv, August 2006
DOI 10.1007/11839132
ISBNs
978-3-54-038593-6, 978-3-54-038594-3
Authors

Mihai Oltean

Editors

Cristian S. Calude, Michael J. Dinneen, Gheorghe Păun, Grzegorz Rozenberg, Susan Stepney

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%
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 October 2022.
All research outputs
#7,731,085
of 23,500,709 outputs
Outputs from arXiv
#173,134
of 971,753 outputs
Outputs of similar age
#23,510
of 67,619 outputs
Outputs of similar age from arXiv
#191
of 359 outputs
Altmetric has tracked 23,500,709 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 971,753 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 67,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.