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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings

Overview of attention for book
Cover of 'Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions
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    Chapter 2 A New Evolutionary Gene Regulatory Network Reverse Engineering Tool
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    Chapter 3 ML-Consensus: A General Consensus Model for Variable-Length Transcription Factor Binding Sites
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    Chapter 4 Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network
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    Chapter 5 ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models
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    Chapter 6 Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism
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    Chapter 7 A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction
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    Chapter 8 Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins
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    Chapter 9 Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm
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    Chapter 10 An Evolutionary Approach for Protein Contact Map Prediction
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    Chapter 11 Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments
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    Chapter 12 Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis
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    Chapter 13 Experimental Approach for Bacterial Strains Characterization
  15. Altmetric Badge
    Chapter 14 Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?
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    Chapter 15 Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNA
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    Chapter 16 A Decision Tree-Based Method for Protein Contact Map Prediction
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    Chapter 17 A Comparison of Machine Learning Methods for the Prediction of Breast Cancer
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    Chapter 18 An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers
  20. Altmetric Badge
    Chapter 19 Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate
Attention for Chapter 15: Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNA
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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1 Dimensions

Readers on

mendeley
15 Mendeley
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Chapter title
Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNA
Chapter number 15
Book title
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-20389-3_15
Book ISBNs
978-3-64-220388-6, 978-3-64-220389-3
Authors

Filip Leonarski, Fabio Trovato, Valentina Tozzini, Joanna Trylska

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 7%
Canada 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Researcher 3 20%
Student > Doctoral Student 2 13%
Professor > Associate Professor 1 7%
Unknown 3 20%
Readers by discipline Count As %
Engineering 4 27%
Agricultural and Biological Sciences 2 13%
Physics and Astronomy 2 13%
Computer Science 1 7%
Chemistry 1 7%
Other 1 7%
Unknown 4 27%
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 05 November 2011.
All research outputs
#3,662,370
of 22,656,971 outputs
Outputs from Lecture notes in computer science
#870
of 8,123 outputs
Outputs of similar age
#24,182
of 180,267 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 318 outputs
Altmetric has tracked 22,656,971 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 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 180,267 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 86% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.