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Unconventional Computation and Natural Computation

Overview of attention for book
Cover of 'Unconventional Computation and Natural Computation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Five Nodes Are Sufficient for Hybrid Networks of Evolutionary Processors to Be Computationally Complete
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    Chapter 2 Learning Two-Input Linear and Nonlinear Analog Functions with a Simple Chemical System
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    Chapter 3 Scaled Tree Fractals Do not Strictly Self-assemble
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    Chapter 4 GUBS a Language for Synthetic Biology: Specification and Compilation
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    Chapter 5 Modeling Syntactic Complexity with P Systems: A Preview
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    Chapter 6 Simulating Cancer Growth Using Cellular Automata to Detect Combination Drug Targets
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    Chapter 7 Towards an MP Model for B Lymphocytes Maturation
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    Chapter 8 Pseudo-inversion on Formal Languages
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    Chapter 9 Reverse-Engineering Nonlinear Analog Circuits with Evolutionary Computation
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    Chapter 10 Steps toward Developing an Artificial Cell Signaling Model Applied to Distributed Fault Detection
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    Chapter 11 Dynamic Adaptive Neural Network Array
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    Chapter 12 Producibility in Hierarchical Self-assembly
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    Chapter 13 Unconventional Arithmetic: A System for Computation Using Action Potentials
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    Chapter 14 Reservoir Computing Approach to Robust Computation Using Unreliable Nanoscale Networks
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    Chapter 15 On DNA-Based Gellular Automata
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    Chapter 16 Doubles and Negatives are Positive (in Self-assembly)
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    Chapter 17 On String Languages Generated by Sequential Spiking Neural P Systems Based on Maximum Spike Number
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    Chapter 18 Languages Associated with Crystallographic Symmetry
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    Chapter 19 An Energy-Efficient Computing Approach by Filling the Connectome Gap
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    Chapter 20 Fast Arithmetic in Algorithmic Self-assembly
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    Chapter 21 Pattern Formation by Spatially Organized Approximate Majority Reactions
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    Chapter 22 Mecobo: A Hardware and Software Platform for In Materio Evolution
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    Chapter 23 Compact Realization of Reversible Turing Machines by 2-State Reversible Logic Elements
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    Chapter 24 Universal Computation in the Prisoner’s Dilemma Game
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    Chapter 25 Exact Simulation of One-Dimensional Chaotic Dynamical Systems Using Algebraic Numbers
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    Chapter 26 Artificial Astrocyte Networks, as Components in Artificial Neural Networks
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    Chapter 27 Quantum, Stochastic, and Pseudo Stochastic Languages with Few States
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    Chapter 28 Phase Transition and Strong Predictability
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    Chapter 29 PHLOGON: PHase-based LOGic using Oscillatory Nano-systems
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    Chapter 30 Size-Separable Tile Self-assembly: A Tight Bound for Temperature-1 Mismatch-Free Systems
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    Chapter 31 Development of Physical Super-Turing Analog Hardware
Attention for Chapter 3: Scaled Tree Fractals Do not Strictly Self-assemble
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About this Attention Score

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  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Chapter title
Scaled Tree Fractals Do not Strictly Self-assemble
Chapter number 3
Book title
Unconventional Computation and Natural Computation
Published in
arXiv, July 2014
DOI 10.1007/978-3-319-08123-6_3
Book ISBNs
978-3-31-908122-9, 978-3-31-908123-6
Authors

Kimberly Barth, David Furcy, Scott M. Summers, Paul Totzke, Barth, Kimberly, Furcy, David, Summers, Scott M., Totzke, Paul

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 November 2014.
All research outputs
#15,310,081
of 22,770,070 outputs
Outputs from arXiv
#373,207
of 934,845 outputs
Outputs of similar age
#131,851
of 226,905 outputs
Outputs of similar age from arXiv
#2,004
of 9,434 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 934,845 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 226,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9,434 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.