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Cancer Genomics and Proteomics

Overview of attention for book
Cover of 'Cancer Genomics and Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Genome-Wide Mapping of RNA Pol-II Promoter Usage in Mouse Tissues by ChIP-Seq
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    Chapter 2 Using native chromatin immunoprecipitation to interrogate histone variant protein deposition in embryonic stem cells.
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    Chapter 3 Reduced representation bisulfite sequencing to identify global alteration of DNA methylation.
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    Chapter 4 A High-Throughput MicroRNA Expression Profiling System.
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    Chapter 5 Using Pooled miR30-shRNA Library for Cancer Lethal and Synthetic Lethal Screens.
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    Chapter 6 A Diphtheria Toxin Negative Selection in RNA Interference Screening
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    Chapter 7 Cancer Metabolism: Cross Talk Between Signaling and O-GlcNAcylation.
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    Chapter 8 Targeted Genome Modification via Triple Helix Formation
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    Chapter 9 Synthesis of Stabilized Alpha-Helical Peptides
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    Chapter 10 Arginine-Grafted Biodegradable Polymer: A Versatile Transfection Reagent for both DNA and siRNA
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    Chapter 11 Using LacO Arrays to Monitor DNA Double-Strand Break Dynamics in Live Schizosaccharomyces pombe Cells
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    Chapter 12 Zebrafish as a Platform to Study Tumor Progression
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    Chapter 13 Clonal Screens to Find Modifiers of Partially Penetrant Phenotypes in C. elegans
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    Chapter 14 Serum profiling using protein microarrays to identify disease related antigens.
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    Chapter 15 Interrogation of In Vivo Protein–Protein Interactions Using Transgenic Mouse Models and Stable Isotope Labeling
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    Chapter 16 New Biophysical Methods to Study the Membrane Activity of Bcl-2 Proteins
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    Chapter 17 Purification of Recombinant 2XMBP Tagged Human Proteins from Human Cells
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    Chapter 18 Computational analysis in cancer exome sequencing.
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    Chapter 19 Matrix Factorization Methods for Integrative Cancer Genomics
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    Chapter 20 Computational methods for DNA copy-number analysis of tumors.
Attention for Chapter 20: Computational methods for DNA copy-number analysis of tumors.
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  • Average Attention Score compared to outputs of the same age and source

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Chapter title
Computational methods for DNA copy-number analysis of tumors.
Chapter number 20
Book title
Cancer Genomics and Proteomics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0992-6_20
Pubmed ID
Book ISBNs
978-1-4939-0991-9, 978-1-4939-0992-6
Authors

Kendall J, Krasnitz A, Jude Kendall, Alexander Krasnitz, Kendall, Jude, Krasnitz, Alexander

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 26%
Student > Ph. D. Student 5 22%
Other 3 13%
Researcher 2 9%
Student > Master 1 4%
Other 1 4%
Unknown 5 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Computer Science 5 22%
Engineering 2 9%
Medicine and Dentistry 2 9%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 5 22%
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 31 March 2015.
All research outputs
#18,405,265
of 22,797,621 outputs
Outputs from Methods in molecular biology
#7,904
of 13,117 outputs
Outputs of similar age
#229,563
of 305,452 outputs
Outputs of similar age from Methods in molecular biology
#293
of 598 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,117 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 305,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 598 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.