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Algorithms in Bioinformatics

Overview of attention for book
Cover of 'Algorithms in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 QCluster: Extending Alignment-Free Measures with Quality Values for Reads Clustering
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    Chapter 2 Improved Approximation for the Maximum Duo-Preservation String Mapping Problem
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    Chapter 3 A Faster 1.375-Approximation Algorithm for Sorting by Transpositions
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    Chapter 4 A Generalized Cost Model for DCJ-Indel Sorting
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    Chapter 5 Efficient Local Alignment Discovery amongst Noisy Long Reads
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    Chapter 6 Efficient Indexed Alignment of Contigs to Optical Maps
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    Chapter 7 Navigating in a Sea of Repeats in RNA-seq without Drowning
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    Chapter 8 Linearization of Median Genomes under DCJ
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    Chapter 9 An LP-Rounding Algorithm for Degenerate Primer Design
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    Chapter 10 GAML: Genome Assembly by Maximum Likelihood
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    Chapter 11 A Common Framework for Linear and Cyclic Multiple Sequence Alignment Problems
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    Chapter 12 Entropic Profiles, Maximal Motifs and the Discovery of Significant Repetitions in Genomic Sequences
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    Chapter 13 Estimating Evolutionary Distances from Spaced-Word Matches
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    Chapter 14 On the Family-Free DCJ Distance
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    Chapter 15 New Algorithms for Computing Phylogenetic Biodiversity
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    Chapter 16 The Divisible Load Balance Problem and Its Application to Phylogenetic Inference
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    Chapter 17 Multiple Mass Spectrometry Fragmentation Trees Revisited: Boosting Performance and Quality
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    Chapter 18 An Online Peak Extraction Algorithm for Ion Mobility Spectrometry Data
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    Chapter 19 Best-Fit in Linear Time for Non-generative Population Simulation
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    Chapter 20 GDNorm: An Improved Poisson Regression Model for Reducing Biases in Hi-C Data
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    Chapter 21 Pacemaker Partition Identification
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    Chapter 22 Manifold de Bruijn Graphs
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    Chapter 23 Constructing String Graphs in External Memory
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    Chapter 24 Topology-Driven Trajectory Synthesis with an Example on Retinal Cell Motions
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    Chapter 25 A Graph Modification Approach for Finding Core–Periphery Structures in Protein Interaction Networks
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    Chapter 26 Interpretable Per Case Weighted Ensemble Method for Cancer Associations
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    Chapter 27 Reconstructing Mutational History in Multiply Sampled Tumors Using Perfect Phylogeny Mixtures
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
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

12 tweeters


4 Dimensions

Readers on

9 Mendeley
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Algorithms in Bioinformatics
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-662-44753-6
978-3-66-244752-9, 978-3-66-244753-6

Dan Brown, Burkhard Morgenstern

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Hungary 1 11%
Denmark 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Other 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 3 33%
Agricultural and Biological Sciences 3 33%
Chemistry 1 11%
Unknown 2 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 October 2016.
All research outputs
of 11,467,937 outputs
Outputs from Lecture notes in computer science
of 7,172 outputs
Outputs of similar age
of 259,285 outputs
Outputs of similar age from Lecture notes in computer science
of 123 outputs
Altmetric has tracked 11,467,937 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,172 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% 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 259,285 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 79% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.