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Disease Gene Identification

Overview of attention for book
Disease Gene Identification
Humana Press, New York, NY

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identification of Disease Susceptibility Alleles in the Next Generation Sequencing Era
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    Chapter 2 Induced Pluripotent Stem Cells in Disease Modeling and Gene Identification
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    Chapter 3 Development of Targeted Therapies Based on Gene Modification
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    Chapter 4 What Can We Learn About Human Disease from the Nematode C. elegans?
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    Chapter 5 Microbiome Sequencing Methods for Studying Human Diseases
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    Chapter 6 The Emerging Role of Long Noncoding RNAs in Human Disease
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    Chapter 7 Identification of Disease-Related Genes Using a Genome-Wide Association Study Approach
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    Chapter 8 Whole Genome Library Construction for Next Generation Sequencing
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    Chapter 9 Whole Exome Library Construction for Next Generation Sequencing
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    Chapter 10 Optimized Methodology for the Generation of RNA-Sequencing Libraries from Low-Input Starting Material: Enabling Analysis of Specialized Cell Types and Clinical Samples
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    Chapter 11 Using Fluidigm C1 to Generate Single-Cell Full-Length cDNA Libraries for mRNA Sequencing
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    Chapter 12 MiSeq: A Next Generation Sequencing Platform for Genomic Analysis
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    Chapter 13 Methods for CpG Methylation Array Profiling Via Bisulfite Conversion
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    Chapter 14 miRNA Quantification Method Using Quantitative Polymerase Chain Reaction in Conjunction with C q Method
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    Chapter 15 Primary Airway Epithelial Cell Gene Editing Using CRISPR-Cas9
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    Chapter 16 RNA Interference to Knock Down Gene Expression
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    Chapter 17 Using Luciferase Reporter Assays to Identify Functional Variants at Disease-Associated Loci
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    Chapter 18 Physiologic Interpretation of GWAS Signals for Type 2 Diabetes
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    Chapter 19 Identification of Genes for Hereditary Hemochromatosis
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    Chapter 20 Identification of Driver Mutations in Rare Cancers: The Role of SMARCA4 in Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT)
  22. Altmetric Badge
    Chapter 21 The Rise and Fall and Rise of Linkage Analysis as a Technique for Finding and Characterizing Inherited Influences on Disease Expression
Attention for Chapter 5: Microbiome Sequencing Methods for Studying Human Diseases
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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4 news outlets
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2 X users

Citations

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7 Dimensions

Readers on

mendeley
73 Mendeley
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Chapter title
Microbiome Sequencing Methods for Studying Human Diseases
Chapter number 5
Book title
Disease Gene Identification
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7471-9_5
Pubmed ID
Book ISBNs
978-1-4939-7470-2, 978-1-4939-7471-9
Authors

Rebecca M. Davidson, L. Elaine Epperson, Davidson, Rebecca M., Epperson, L. Elaine

Abstract

Over the last decade, biologists have come to appreciate that the human body is inhabited by thousands of bacterial species in diverse communities unique to each body site. Moreover, due to high-throughput sequencing methods for microbial characterization in a culture-independent manner, it is becoming evident that the microbiome plays an important role in human health and disease. This chapter focuses on the most common form of bacterial microbiome profiling, targeted amplicon sequencing of the 16S ribosomal RNA (rRNA) subunit encoded by 16S rDNA. We discuss important features for designing and performing microbiome experiments on human specimens, including experimental design, sample collection, DNA preparation, and selection of the 16S rDNA sequencing target. We also provide details for designing fusion primers required for targeted amplicon sequencing and selecting the most appropriate high-throughput sequencing platform. We conclude with a review of the fundamental concepts of data analysis and interpretation for these kinds of experiments. Our goal is to provide the reader with the essential knowledge needed to undertake microbiome experiments for application to human disease research questions.

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 16%
Student > Ph. D. Student 12 16%
Student > Master 8 11%
Researcher 6 8%
Student > Doctoral Student 4 5%
Other 4 5%
Unknown 27 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Agricultural and Biological Sciences 8 11%
Medicine and Dentistry 8 11%
Immunology and Microbiology 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 5 7%
Unknown 32 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 12 June 2020.
All research outputs
#1,268,983
of 26,626,905 outputs
Outputs from Methods in molecular biology
#121
of 14,520 outputs
Outputs of similar age
#27,627
of 456,852 outputs
Outputs of similar age from Methods in molecular biology
#6
of 1,478 outputs
Altmetric has tracked 26,626,905 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,520 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 456,852 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1,478 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.