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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.
  4. Altmetric Badge
    Chapter 3 The "Clickable" Method for Oligonucleotide Immobilization Onto Azide-Functionalized Microarrays.
  5. Altmetric Badge
    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.
  10. Altmetric Badge
    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.
  12. Altmetric Badge
    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).
  20. Altmetric Badge
    Chapter 19 Cell Microarrays for Biomedical Applications.
Attention for Chapter 11: Single Nucleotide Polymorphisms as Genomic Markers for High-Throughput Pharmacogenomic Studies.
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Chapter title
Single Nucleotide Polymorphisms as Genomic Markers for High-Throughput Pharmacogenomic Studies.
Chapter number 11
Book title
Microarray Technology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3136-1_11
Pubmed ID
Book ISBNs
978-1-4939-3135-4, 978-1-4939-3136-1
Authors

Lonetti, Annalisa, Fontana, Maria Chiara, Martinelli, Giovanni, Iacobucci, Ilaria, Annalisa Lonetti, Maria Chiara Fontana, Giovanni Martinelli, Ilaria Iacobucci

Abstract

Genetic variations in patients have strong impact on their drug therapies and responses because the variations may contribute to the efficacy and/or produce undesirable side effects for any given drug. The Drug Metabolizing Enzymes and Transporters (DMET) assay is a high-throughput technology by Affymetrix that is able to simultaneously genotype variants in multiple genes involved in absorption, distribution, metabolism, and excretion of drugs for subsequent clinical applications, i.e., the assay allows for a precise genetic map that can guide therapeutic interventions and avoid side effects.

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

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Bachelor 6 15%
Student > Master 6 15%
Lecturer 5 13%
Other 4 10%
Other 4 10%
Unknown 8 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 33%
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 6 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 3 8%
Unknown 9 23%
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 28 December 2015.
All research outputs
#15,352,477
of 22,836,570 outputs
Outputs from Methods in molecular biology
#5,347
of 13,126 outputs
Outputs of similar age
#230,873
of 393,568 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
Altmetric has tracked 22,836,570 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 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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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 is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.