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Bioinformatics Research and Applications

Overview of attention for book
Cover of 'Bioinformatics Research and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 An Efficient Algorithm for Finding All Pairs k-Mismatch Maximal Common Substrings
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    Chapter 2 Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads
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    Chapter 3 FSG: Fast String Graph Construction for De Novo Assembly of Reads Data
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    Chapter 4 OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads
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    Chapter 5 High-Performance Sensing of DNA Hybridization on Surface of Self-organized MWCNT-Arrays Decorated by Organometallic Complexes
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    Chapter 6 Towards a More Accurate Error Model for BioNano Optical Maps
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    Chapter 7 HapIso: An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads
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    Chapter 8 Genome-Wide Structural Modeling of Protein-Protein Interactions
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    Chapter 9 Identifying Essential Proteins by Purifying Protein Interaction Networks
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    Chapter 10 Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sense Transcription
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    Chapter 11 Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks
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    Chapter 12 Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees
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    Chapter 13 Consistent Visualization of Multiple Rigid Domain Decompositions of Proteins
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    Chapter 14 A Multiagent Ab Initio Protein Structure Prediction Tool for Novices and Experts
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    Chapter 15 Filling a Protein Scaffold with a Reference
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    Chapter 16 Mean Values of Gene Duplication and Loss Cost Functions
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    Chapter 17 The SCJ Small Parsimony Problem for Weighted Gene Adjacencies
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    Chapter 18 Path-Difference Median Trees
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    Chapter 19 NEMo: An Evolutionary Model with Modularity for PPI Networks
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    Chapter 20 Multi-genome Scaffold Co-assembly Based on the Analysis of Gene Orders and Genomic Repeats
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    Chapter 21 Selectoscope: A Modern Web-App for Positive Selection Analysis of Genomic Data
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    Chapter 22 Methods for Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus
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    Chapter 23 Haplotype Inference for Pedigrees with Few Recombinations
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    Chapter 24 Improved Detection of 2D Gel Electrophoresis Spots by Using Gaussian Mixture Model
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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
8 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Bioinformatics Research and Applications
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-38782-6
ISBNs
978-3-31-938781-9, 978-3-31-938782-6
Editors

Anu Bourgeois, Pavel Skums, Xiang Wan, Alex Zelikovsky

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Netherlands 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Researcher 2 22%
Other 1 11%
Student > Ph. D. Student 1 11%
Student > Postgraduate 1 11%
Other 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Biochemistry, Genetics and Molecular Biology 2 22%
Computer Science 2 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Engineering 1 11%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 June 2016.
All research outputs
#2,585,591
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#537
of 8,137 outputs
Outputs of similar age
#46,062
of 394,344 outputs
Outputs of similar age from Lecture notes in computer science
#102
of 582 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 394,344 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 88% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.