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Statistical Genomics

Overview of attention for book
Cover of 'Statistical Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Sequence Data Formats
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    Chapter 2 Integrative Exploratory Analysis of Two or More Genomic Datasets
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    Chapter 3 Study Design for Sequencing Studies
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    Chapter 4 Genomic Annotation Resources in R/Bioconductor
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    Chapter 5 The Gene Expression Omnibus Database
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    Chapter 6 A Practical Guide to The Cancer Genome Atlas (TCGA)
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    Chapter 7 Working with Oligonucleotide Arrays
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    Chapter 8 Meta-Analysis in Gene Expression Studies
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    Chapter 9 Practical Analysis of Genome Contact Interaction Experiments
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    Chapter 10 Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data
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    Chapter 11 Variant Calling From Next Generation Sequence Data
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    Chapter 12 Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes
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    Chapter 13 NGS-QC Generator: A Quality Control System for ChIP-Seq and Related Deep Sequencing-Generated Datasets
  15. Altmetric Badge
    Chapter 14 Operating on Genomic Ranges Using BEDOPS
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    Chapter 15 GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality
  17. Altmetric Badge
    Chapter 16 Visualizing Genomic Data Using Gviz and Bioconductor
  18. Altmetric Badge
    Chapter 17 Introducing Machine Learning Concepts with WEKA
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    Chapter 18 Experimental Design and Power Calculation for RNA-seq Experiments
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    Chapter 19 It’s DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeR
Attention for Chapter 16: Visualizing Genomic Data Using Gviz and Bioconductor
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
13 patents

Citations

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58 Dimensions

Readers on

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286 Mendeley
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Chapter title
Visualizing Genomic Data Using Gviz and Bioconductor
Chapter number 16
Book title
Statistical Genomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3578-9_16
Pubmed ID
Book ISBNs
978-1-4939-3576-5, 978-1-4939-3578-9
Authors

Florian Hahne, Robert Ivanek, Hahne, Florian, Ivanek, Robert

Editors

Ewy Mathé, Sean Davis

Abstract

The Gviz package offers a flexible framework to visualize genomic data in the context of a variety of different genome annotation features. Being tightly embedded in the Bioconductor genomics landscape, it nicely integrates with the existing infrastructure, but also provides direct data retrieval from external sources like Ensembl and UCSC and supports most of the commonly used annotation file types. Through carefully chosen default settings the package greatly facilitates the production of publication-ready figures of genomic loci, while still maintaining high flexibility due to its ample customization options.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Brazil 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 281 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 87 30%
Student > Master 43 15%
Researcher 41 14%
Student > Bachelor 27 9%
Student > Doctoral Student 13 5%
Other 21 7%
Unknown 54 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 36%
Agricultural and Biological Sciences 77 27%
Medicine and Dentistry 19 7%
Computer Science 6 2%
Neuroscience 5 2%
Other 19 7%
Unknown 58 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2022.
All research outputs
#7,477,524
of 22,858,915 outputs
Outputs from Methods in molecular biology
#2,324
of 13,128 outputs
Outputs of similar age
#123,022
of 393,637 outputs
Outputs of similar age from Methods in molecular biology
#268
of 1,470 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 393,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.