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Microarray Technology

Overview of attention for book
Cover of 'Microarray Technology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Microarray Technology.
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    Chapter 2 Surface Functionalization for Immobilization of Probes on Microarrays.
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    Chapter 3 The "Clickable" Method for Oligonucleotide Immobilization Onto Azide-Functionalized Microarrays.
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    Chapter 4 Microarray Developed on Plastic Substrates.
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    Chapter 5 Detection and Quantification of MicroRNAs by Ligase-Assisted Sandwich Hybridization on a Microarray.
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    Chapter 6 Probe Design Strategies for Oligonucleotide Microarrays.
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    Chapter 7 Analyzing Illumina Gene Expression Microarray Data Obtained From Human Whole Blood Cell and Blood Monocyte Samples
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    Chapter 8 Microarray Technology and Its Applications for Detecting Plasma microRNA Biomarkers in Digestive Tract Cancers.
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    Chapter 9 Microarray Technology
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    Chapter 10 High-Throughput DNA Array for SNP Detection of KRAS Gene Using a Centrifugal Microfluidic Device.
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    Chapter 11 Single Nucleotide Polymorphisms as Genomic Markers for High-Throughput Pharmacogenomic Studies.
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    Chapter 12 DNA Microarray-Based Diagnostics.
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    Chapter 13 Microarray Technology
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    Chapter 14 Nanotechnology in the Fabrication of Protein Microarrays
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    Chapter 15 Epitope Mapping Using Peptide Microarray in Autoantibody Profiling
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    Chapter 16 Preparation of Glycan Arrays Using Pyridylaminated Glycans
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    Chapter 17 Competitive Immunoassays Using Antigen Microarrays
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    Chapter 18 Parallel Syntheses of Peptides on Teflon-Patterned Paper Arrays (SyntArrays).
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    Chapter 19 Cell Microarrays for Biomedical Applications.
Attention for Chapter 9: Microarray Technology
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Chapter title
Microarray Technology
Chapter number 9
Book title
Microarray Technology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3136-1_9
Pubmed ID
26614072
Book ISBNs
978-1-4939-3135-4, 978-1-4939-3136-1
Authors

Patel, Ankita, Cheung, Sau W, Ankita Patel, Sau W. Cheung

Abstract

Microarray-based technology to conduct array comparative genomic hybridization (aCGH) has made a significant impact on the diagnosis of human genetic diseases. Such diagnoses, previously undetectable by traditional G-banding chromosome analysis, are now achieved by identifying genomic copy number variants (CNVs) using the microarray. Not only can hundreds of well-characterized genetic syndromes be detected in a single assay, but new genomic disorders and disease-causing genes can also be discovered through the utilization of aCGH technology. Although other platforms such as single nucleotide polymorphism (SNP) arrays can be used for detecting CNVs, in this chapter we focus on describing the methods for performing aCGH using Agilent oligonucleotide arrays for both prenatal (e.g., amniotic fluid and chorionic villus sample) and postnatal samples (e.g., blood).

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X Demographics

The data shown below were collected from the profile of 1 X user 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Researcher 6 22%
Student > Bachelor 3 11%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 33%
Agricultural and Biological Sciences 4 15%
Engineering 3 11%
Unspecified 1 4%
Chemical Engineering 1 4%
Other 3 11%
Unknown 6 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 08 September 2016.
All research outputs
#20,340,423
of 22,886,568 outputs
Outputs from Methods in molecular biology
#9,921
of 13,132 outputs
Outputs of similar age
#330,770
of 393,716 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
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So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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