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Bio-Inspired Models of Network, Information, and Computing Systems

Overview of attention for book
Cover of 'Bio-Inspired Models of Network, Information, and Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Hybrid Exact-ACO Algorithm for the Joint Scheduling, Power and Cluster Assignment in Cooperative Wireless Networks
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    Chapter 2 Proposal and Evaluation of Attractor Perturbation-Based Rate Control for Stable End-to-End Delay
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    Chapter 3 The Reactive ASR-FA – An Ant Routing Algorithm That Detects Changes in the Network by Employing Statistical Delay Models
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    Chapter 4 A Mathematical Model for the Analysis of the Johnson-Nyquist Thermal Noise on the Reliability in Nano-Communications
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    Chapter 5 Visuomotor Mapping Based on Hering’s Law for a Redundant Active Stereo Head and a 3 DOF Arm
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    Chapter 6 A Distributed Multi-level PSO Control Algorithm for Autonomous Underwater Vehicles
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    Chapter 7 A Novel Communication Technique for Nanobots Based on Acoustic Signals
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    Chapter 8 What Could Assistance Robots Learn from Assistance Dogs?
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    Chapter 9 Bioinspired Obstacle Avoidance Algorithms for Robot Swarms
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    Chapter 10 Evolving Networks Processing Signals with a Mixed Paradigm, Inspired by Gene Regulatory Networks and Spiking Neurons
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    Chapter 11 Algorithmically Transitive Network: Learning Padé Networks for Regression
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    Chapter 12 Investigation of Developmental Mechanisms in Common Developmental Genomes
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    Chapter 13 Improving Diffusion-Based Molecular Communication with Unanchored Enzymes
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    Chapter 14 The Use of Computational Intelligence in the Design of Polymers and in Property Prediction
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    Chapter 15 A Watermarking Scheme for Coding DNA Sequences Using Codon Circular Code
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    Chapter 16 Ant Local Search for Combinatorial Optimization
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    Chapter 17 An Enhanced Ant Colony System for the Probabilistic Traveling Salesman Problem
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    Chapter 18 Exploiting Synergies Between Exact and Heuristic Methods in Optimization: An Application to the Relay Placement Problem in Wireless Sensor Networks
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    Chapter 19 Extracting Communities from Citation Networks of Patents: Application of the Brain-Inspired Mechanism of Information Retrieval
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    Chapter 20 Modeling Epidemic Risk Perception in Networks with Community Structure
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    Chapter 21 Simulating Language Dynamics by Means of Concept Reasoning
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    Chapter 22 Rigorous Punishment Promotes Cooperation in Prisoners’ Dilemma Game
Attention for Chapter 13: Improving Diffusion-Based Molecular Communication with Unanchored Enzymes
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Chapter title
Improving Diffusion-Based Molecular Communication with Unanchored Enzymes
Chapter number 13
Book title
Bio-Inspired Models of Network, Information, and Computing Systems
Published in
arXiv, December 2012
DOI 10.1007/978-3-319-06944-9_13
Book ISBNs
978-3-31-906943-2, 978-3-31-906944-9
Authors

Adam Noel, Karen Cheung, Robert Schober, Karen C. Cheung

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 7%
Ecuador 1 7%
Switzerland 1 7%
Unknown 12 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 47%
Researcher 5 33%
Professor > Associate Professor 2 13%
Other 1 7%
Lecturer 1 7%
Other 0 0%
Readers by discipline Count As %
Engineering 9 60%
Computer Science 4 27%
Physics and Astronomy 2 13%
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 09 May 2013.
All research outputs
#17,687,671
of 22,709,015 outputs
Outputs from arXiv
#437,387
of 930,907 outputs
Outputs of similar age
#208,569
of 278,803 outputs
Outputs of similar age from arXiv
#1,650
of 4,844 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 930,907 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 42nd percentile – i.e., 42% 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 278,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,844 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 59% of its contemporaries.