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Artificial Immune Systems

Overview of attention for book
Cover of 'Artificial Immune Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Agent Based Modeling of Lung Metastasis-Immune System Competition
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    Chapter 2 Using UML to Model EAE and Its Regulatory Network
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    Chapter 3 Non-deterministic Explanation of Immune Responses: A Computer Model
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    Chapter 4 Dendritic Cell Trafficking: From Immunology to Engineering
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    Chapter 5 A Hybrid Agent Based and Differential Equation Model of Body Size Effects on Pathogen Replication and Immune System Response
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    Chapter 6 Nonself Detection in a Two-Component Cellular Frustrated System
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    Chapter 7 Questions of Function: Modelling the Emergence of Immune Response
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    Chapter 8 Object-Oriented Refactoring of Existing Immune Models
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    Chapter 9 Mathematical Model of HIV Superinfection and Comparative Drug Therapy
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    Chapter 10 Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
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    Chapter 11 On AIRS and Clonal Selection for Machine Learning
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    Chapter 12 A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization
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    Chapter 13 Comparing Different Aging Operators
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    Chapter 14 Efficient Algorithms for String-Based Negative Selection
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    Chapter 15 T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection
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    Chapter 16 An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics
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    Chapter 17 An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal
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    Chapter 18 Application of AIS Based Classification Algorithms to Detect Overloaded Areas in Power System Networks
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    Chapter 19 Artificial Immune System Applied to the Multi-stage Transmission Expansion Planning
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    Chapter 20 Immune Learning in a Dynamic Information Environment
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    Chapter 21 Unsupervised Structure Damage Classification Based on the Data Clustering and Artificial Immune Pattern Recognition
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    Chapter 22 A Sense of ‘Danger’ for Windows Processes
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    Chapter 23 An Immunity Inspired Real-Time Cooperative Control Framework for Networked Multi-agent Systems
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    Chapter 24 Managing Diversity on an AIS That Solves 3-Colouring Problems
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    Chapter 25 An Error Propagation Algorithm for Ad Hoc Wireless Networks
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    Chapter 26 Grammar-Based Immune Programming for Symbolic Regression
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    Chapter 27 A New Algorithm Based on Negative Selection and Idiotypic Networks for Generating Parsimonious Detector Sets for Industrial Fault Detection Applications
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    Chapter 28 Parametric Modelling of a Flexible Plate Structure Using Artificial Immune System Algorithm
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    Chapter 29 A Hybrid Approach for Learning Concept Hierarchy from Malay Text Using GAHC and Immune Network
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    Chapter 30 An Immune Inspired Algorithm for Solving Dynamic Vehicle Dispatching Problem in a Port Container Terminal
Overall attention for this book and its chapters
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Mentioned by

patent
1 patent

Citations

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5 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Artificial Immune Systems
Published by
ADS, July 2009
DOI 10.1007/978-3-642-03246-2
ISBNs
978-3-64-203245-5, 978-3-64-203246-2
Editors

Andrews, Paul S., Timmis, Jon, Owens, Nick D. L., Aickelin, Uwe, Hart, Emma, Hone, Andrew, Tyrrell, Andy

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 %
United Kingdom 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Agricultural and Biological Sciences 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 27 December 2013.
All research outputs
#7,815,695
of 23,724,077 outputs
Outputs from ADS
#9,444
of 38,189 outputs
Outputs of similar age
#38,438
of 113,006 outputs
Outputs of similar age from ADS
#118
of 379 outputs
Altmetric has tracked 23,724,077 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 38,189 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 113,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 379 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.