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Applications and Innovations in Intelligent Systems XVI

Overview of attention for book
Cover of 'Applications and Innovations in Intelligent Systems XVI'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Wireless LAN Load-Balancing with Genetic Algorithms
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    Chapter 2 Computer Vision System for Manufacturing of Micro Workpieces
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    Chapter 3 Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier
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    Chapter 4 Visualization of Agriculture Data Using Self-Organizing Maps
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    Chapter 5 Graph-based Image Classification by Weighting Scheme
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    Chapter 6 A Machine Learning Application for Classification of Chemical Spectra
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    Chapter 7 Learning to rank order — a distance-based approach
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    Chapter 8 Deploying Embodied AI into Virtual Worlds
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    Chapter 9 Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks
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    Chapter 10 Information Management for Unmanned Systems: Combining DL-Reasoning with Publish/Subscribe
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    Chapter 11 Silog: Speech Input Logon
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    Chapter 12 An Electronic Tree Inventory for Arboriculture Management
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    Chapter 13 Conversational Agents in E-Learning
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    Chapter 14 Breast cancer diagnosis based on evolvable fuzzy classifiers and feature selection
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    Chapter 15 Executing Medical Guidelines on the Web: Towards Next Generation Healthcare
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    Chapter 16 A Hybrid Constraint Programming Approach for Nurse Rostering Problems
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    Chapter 17 Using Evolved Fuzzy Neural Networks for Injury Detection from Isokinetic Curves
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    Chapter 18 An evolutionary approach to simulated football free kick optimisation
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    Chapter 19 An Application of Artificial Intelligence to the Implementation of Electronic Commerce
  21. Altmetric Badge
    Chapter 20 Hybrid System for the Inventory of the Cultural Heritage Using Voice Interface for Knowledge acquisition
Attention for Chapter 6: A Machine Learning Application for Classification of Chemical Spectra
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
81 Mendeley
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Chapter title
A Machine Learning Application for Classification of Chemical Spectra
Chapter number 6
Book title
Applications and Innovations in Intelligent Systems XVI
Published in
ADS, January 2009
DOI 10.1007/978-1-84882-215-3_6
Book ISBNs
978-1-84882-214-6, 978-1-84882-215-3
Authors

Michael G. Madden, Tom Howley, Madden, Michael G., Howley, Tom

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Italy 1 1%
Switzerland 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 22%
Student > Master 13 16%
Student > Ph. D. Student 12 15%
Student > Bachelor 6 7%
Student > Postgraduate 5 6%
Other 9 11%
Unknown 18 22%
Readers by discipline Count As %
Engineering 16 20%
Chemistry 12 15%
Computer Science 11 14%
Physics and Astronomy 7 9%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 12 15%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 March 2023.
All research outputs
#4,968,506
of 23,806,312 outputs
Outputs from ADS
#4,705
of 38,774 outputs
Outputs of similar age
#27,247
of 173,623 outputs
Outputs of similar age from ADS
#148
of 914 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,774 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 173,623 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 914 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.