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Advances in Information and Intelligent Systems

Overview of attention for book
Cover of 'Advances in Information and Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Complex Adaptive Systems: How Informed Patient Choice Influences the Distribution of Complex Surgical Procedures
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    Chapter 2 Making Sense of Complex Systems through Integrated Modeling and Simulation
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    Chapter 3 Towards a General Tool for Studying Threshold Effects Across Diverse Domains
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    Chapter 4 Modeling and Extracting Deep-Web Query Interfaces
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    Chapter 5 On the Quantification of Identity and Link Disclosures in Randomizing Social Networks
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    Chapter 6 Polyphonic Music Information Retrieval Based on Multi-label Cascade Classification System
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    Chapter 7 Accurate and Robust Centerline Extraction from Tubular Structures in Medical Images
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    Chapter 8 Incorporate Visual Analytics to Design a Human-Centered Computing Framework for Personalized Classifier Training and Image Retrieval
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    Chapter 9 A Multi-strategy Approach to Geo-Entity Recognition
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    Chapter 10 Monte-Carlo Tree Search and Computer Go
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    Chapter 11 Ontology Guided Risk Analysis: From Informal Specifications to Formal Metrics
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    Chapter 12 Decentralized Peer-to-Peer Botnet Architectures
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    Chapter 13 A Dimension Management Framework for High Dimensional Visualization
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    Chapter 14 Year-Long Time-Varying 3D Air Quality Data Visualization
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    Chapter 15 Embedding Information Visualization within Visual Representation
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    Chapter 16 Interaction Volume Management in a Multi-scale Virtual Environment
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Advances in Information and Intelligent Systems
Published by
Studies in Computational Intelligence, January 2009
DOI 10.1007/978-3-642-04141-9
ISBNs
978-3-64-204140-2, 978-3-64-204141-9, 978-3-64-226087-2
Editors

Zbigniew W Ras, William Ribarsky

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 5%
Italy 1 5%
Luxembourg 1 5%
Canada 1 5%
Unknown 18 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 27%
Student > Ph. D. Student 5 23%
Professor > Associate Professor 4 18%
Researcher 4 18%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 10 45%
Business, Management and Accounting 3 14%
Social Sciences 2 9%
Engineering 2 9%
Medicine and Dentistry 2 9%
Other 1 5%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 March 2010.
All research outputs
#3,922,282
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#18,759
of 187,124 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one scored the same or higher as 0 of them.
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 187,124 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them