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Research in Computational Molecular Biology

Overview of attention for book
Cover of 'Research in Computational Molecular Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Boosting Alignment Accuracy by Adaptive Local Realignment
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    Chapter 2 A Concurrent Subtractive Assembly Approach for Identification of Disease Associated Sub-metagenomes
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    Chapter 3 A Flow Procedure for the Linearization of Genome Sequence Graphs
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    Chapter 4 Dynamic Alignment-Free and Reference-Free Read Compression
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    Chapter 5 A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases
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    Chapter 6 Determining the Consistency of Resolved Triplets and Fan Triplets
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    Chapter 7 Progressive Calibration and Averaging for Tandem Mass Spectrometry Statistical Confidence Estimation: Why Settle for a Single Decoy?
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    Chapter 8 Resolving Multicopy Duplications de novo Using Polyploid Phasing
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    Chapter 9 A Bayesian Active Learning Experimental Design for Inferring Signaling Networks
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    Chapter 10 $$BBK^*$$ (Branch and Bound over $$K^*$$ ): A Provable and Efficient Ensemble-Based Algorithm to Optimize Stability and Binding Affinity over Large Sequence Spaces
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    Chapter 11 Superbubbles, Ultrabubbles and Cacti
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    Chapter 12 EPR-Dictionaries: A Practical and Fast Data Structure for Constant Time Searches in Unidirectional and Bidirectional FM Indices
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    Chapter 13 A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference
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    Chapter 14 Towards Recovering Allele-Specific Cancer Genome Graphs
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    Chapter 15 Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability
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    Chapter 16 Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees
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    Chapter 17 AllSome Sequence Bloom Trees
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    Chapter 18 Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model
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    Chapter 19 Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies
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    Chapter 20 The Copy-Number Tree Mixture Deconvolution Problem and Applications to Multi-sample Bulk Sequencing Tumor Data
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    Chapter 21 Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding
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    Chapter 22 aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity
Attention for Chapter 4: Dynamic Alignment-Free and Reference-Free Read Compression
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Chapter title
Dynamic Alignment-Free and Reference-Free Read Compression
Chapter number 4
Book title
Research in Computational Molecular Biology
Published in
Lecture notes in computer science, April 2017
DOI 10.1007/978-3-319-56970-3_4
Book ISBNs
978-3-31-956969-7, 978-3-31-956970-3
Authors

Guillaume Holley, Roland Wittler, Jens Stoye, Faraz Hach

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Researcher 2 40%
Student > Bachelor 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Agricultural and Biological Sciences 2 40%
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 08 June 2017.
All research outputs
#15,457,417
of 22,968,808 outputs
Outputs from Lecture notes in computer science
#4,661
of 8,141 outputs
Outputs of similar age
#194,588
of 310,014 outputs
Outputs of similar age from Lecture notes in computer science
#61
of 128 outputs
Altmetric has tracked 22,968,808 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 8,141 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.
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 310,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.