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Artificial Life and Computational Intelligence : First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings

Overview of attention for book
Cover of 'Artificial Life and Computational Intelligence : First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 ALife Using Adaptive, Autonomous, and Individual Agent Control
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    Chapter 2 Computational Understanding and Manipulation of Symmetries
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    Chapter 3 Ontological and Computational Aspects of Economic-Environmental Modelling
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    Chapter 4 Exploring the Periphery of Knowledge by Intrinsically Motivated Systems
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    Chapter 5 On the Estimation of Convergence Times to Invariant Sets in Convex Polytopic Uncertain Systems
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    Chapter 6 A Sensor Fusion Approach to the Fault Tolerant Control of Linear Parameter Varying Systems
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    Chapter 7 Emotions and Their Effect on Cooperation Levels in N-Player Social Dilemma Games
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    Chapter 8 Agent-Based Simulation of Stakeholder Behaviour through Evolutionary Game Theory
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    Chapter 9 Evolving Cellular Automata for Maze Generation
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    Chapter 10 Point of Regard from Eye Velocity in Stereoscopic Virtual Environments Based on Intersections of Hypothesis Surfaces
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    Chapter 11 Formalising Believability and Building Believable Virtual Agents
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    Chapter 12 Gamification for Education: Designing a Pharmacy Education Game
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    Chapter 13 Sound Improves Player Performance in a Multiplayer Online Battle Arena Game
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    Chapter 14 Generic Construction of Scale-Invariantly Coarse Grained Memory
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    Chapter 15 Transgenic Evolution for Classification Tasks with HERCL
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    Chapter 16 Learning Nursery Rhymes Using Adaptive Parameter Neurodynamic Programming
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    Chapter 17 Autonomous Hypothesis Generation as an Environment Learning Mechanism for Agent Design
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    Chapter 18 Learning Options for an MDP from Demonstrations
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    Chapter 19 A Grammarless Language Generation Algorithm Based on Idiotypic Artificial Immune Networks
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    Chapter 20 Evolving Unipolar Memristor Spiking Neural Networks
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    Chapter 21 A Genetic Algorithm Solver for Pest Management Control in Island Systems
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    Chapter 22 An Evolutionary Algorithm for Deriving Withdrawal Rates in Defined Contribution Schemes
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    Chapter 23 Evolving Point Packings in the Plane
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    Chapter 24 The Effect of Reactant and Product Selection Strategies on Cycle Evolution in an Artificial Chemistry
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    Chapter 25 Use of a High-Value Social Audience Index for Target Audience Identification on Twitter
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    Chapter 26 Detecting Anomalies in Controlled Drug Prescription Data Using Probabilistic Models
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    Chapter 27 Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis
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    Chapter 28 A Modified Case-Based Reasoning Approach for Triaging Psychiatric Patients Using a Similarity Measure Derived from Orthogonal Vector Projection
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    Chapter 29 The MST-kNN with Paracliques
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    Chapter 30 Mechanical Generation of Networks with Surplus Complexity
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    Chapter 31 Efficient Sensitivity Analysis of Reliability in Embedded Software
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    Chapter 32 Identifying Verb-Preposition Multi-Category Words in Chinese-English Patent Machine Translation
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    Chapter 33 Wavelet Based Artificial Intelligence Approaches for Prediction of Hydrological Time Series
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    Chapter 34 Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval
Attention for Chapter 13: Sound Improves Player Performance in a Multiplayer Online Battle Arena Game
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

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1 Dimensions

Readers on

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16 Mendeley
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Chapter title
Sound Improves Player Performance in a Multiplayer Online Battle Arena Game
Chapter number 13
Book title
Artificial Life and Computational Intelligence
Published in
Lecture notes in computer science, February 2015
DOI 10.1007/978-3-319-14803-8_13
Book ISBNs
978-3-31-914802-1, 978-3-31-914803-8
Authors

Patrick Ng, Keith Nesbitt, Karen Blackmore, Ng, Patrick, Nesbitt, Keith, Blackmore, Karen

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Lecturer > Senior Lecturer 1 6%
Other 1 6%
Student > Bachelor 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Arts and Humanities 3 19%
Psychology 3 19%
Business, Management and Accounting 2 13%
Social Sciences 2 13%
Computer Science 1 6%
Other 0 0%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 March 2019.
All research outputs
#6,946,410
of 22,778,347 outputs
Outputs from Lecture notes in computer science
#2,286
of 8,124 outputs
Outputs of similar age
#96,563
of 352,145 outputs
Outputs of similar age from Lecture notes in computer science
#98
of 229 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 352,145 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 229 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 56% of its contemporaries.