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Knowledge Exploration in Life Science Informatics

Overview of attention for book
Cover of 'Knowledge Exploration in Life Science Informatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Pen-and-Paper Notation for Teaching Biosciences
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    Chapter 2 An Exploration of Some Factors Affecting the Correlation of mRNA and Proteomic Data
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    Chapter 3 Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets
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    Chapter 4 A Randomized Algorithm for Distance Matrix Calculations in Multiple Sequence Alignment
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    Chapter 5 Extracting Sequential Patterns for Gene Regulatory Expressions Profiles
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    Chapter 6 Data Analysis of Microarrays Using SciCraft
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    Chapter 7 Functional Data Analysis of the Dynamics of Gene Regulatory Networks
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    Chapter 8 Text Mining of Full Text Articles and Creation of a Knowledge Base for Analysis of Microarray Data
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    Chapter 9 Analysis of Protein/Protein Interactions Through Biomedical Literature: Text Mining of Abstracts vs. Text Mining of Full Text Articles
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    Chapter 10 Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition
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    Chapter 11 A New Artificial Life Formalization Model: A Worm with a Bayesian Brain
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    Chapter 12 Teaching Grasping to a Humanoid Hand as a Generalization of Human Grasping Data
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    Chapter 13 JavaSpaces – An Affordable Technology for the Simple Implementation of Reusable Parallel Evolutionary Algorithms
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    Chapter 14 Detecting and Adapting to Concept Drift in Bioinformatics
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    Chapter 15 Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis
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    Chapter 16 Evaluation of Outcome Prediction for a Clinical Diabetes Database
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    Chapter 17 Cytochrome P450 Classification of Drugs with Support Vector Machines Implementing the Nearest Point Algorithm
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    Chapter 18 Multiple-Instance Case-Based Learning for Predictive Toxicology
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    Chapter 19 Modelling and Prediction of Toxicity of Environmental Pollutants
  21. Altmetric Badge
    Chapter 20 Modelling Aquatic Toxicity with Advanced Computational Techniques: Procedures to Standardize Data and Compare Models
Attention for Chapter 11: A New Artificial Life Formalization Model: A Worm with a Bayesian Brain
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Citations

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Readers on

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11 Mendeley
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Chapter title
A New Artificial Life Formalization Model: A Worm with a Bayesian Brain
Chapter number 11
Book title
Knowledge Exploration in Life Science Informatics
Published in
Lecture notes in computer science, January 2004
DOI 10.1007/978-3-540-30478-4_11
Book ISBNs
978-3-54-023927-7, 978-3-54-030478-4
Authors

Fidel Aznar Gregori, Maria Del Mar Pujol López, Ramón Rizo Aldeguer, Pablo Suau Pérez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Ph. D. Student 2 18%
Professor 2 18%
Researcher 2 18%
Unspecified 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Psychology 2 18%
Unspecified 1 9%
Agricultural and Biological Sciences 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%
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 21 December 2011.
All research outputs
#15,239,825
of 22,659,164 outputs
Outputs from Lecture notes in computer science
#4,645
of 8,123 outputs
Outputs of similar age
#112,398
of 132,835 outputs
Outputs of similar age from Lecture notes in computer science
#82
of 114 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.