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Multiplex Biomarker Techniques

Overview of attention for book
Cover of 'Multiplex Biomarker Techniques'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Application of Multiplex Biomarker Approaches to Accelerate Drug Discovery and Development.
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    Chapter 2 The Application of Multiplex Biomarker Techniques for Improved Stratification and Treatment of Schizophrenia Patients.
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    Chapter 3 Multiplex Biomarker Approaches in Type 2 Diabetes Mellitus Research.
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    Chapter 4 LC-MS(E), Multiplex MS/MS, Ion Mobility, and Label-Free Quantitation in Clinical Proteomics.
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    Chapter 5 Phenotyping Multiple Subsets of Immune Cells In Situ in FFPE Tissue Sections: An Overview of Methodologies.
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    Chapter 6 Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.
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    Chapter 7 Opportunities and Challenges of Multiplex Assays: A Machine Learning Perspective.
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    Chapter 8 Multiplex Analyses Using Real-Time Quantitative PCR.
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    Chapter 9 Multiplex Analysis Using cDNA Transcriptomic Profiling.
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    Chapter 10 Multiplex Single Nucleotide Polymorphism Analyses.
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    Chapter 11 Pulsed SILAC as a Approach for miRNA Targets Identification in Cell Culture.
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    Chapter 12 Blood Bio-Sampling Procedures for Multiplex Biomarkers Studies.
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    Chapter 13 Multiplex Immunoassay Profiling.
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    Chapter 14 Multiplex Sequential Immunoprecipitation of Insulin Secretory Granule Proteins from Radiolabeled Pancreatic Islets.
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    Chapter 15 Two Dimensional Gel Electrophoresis of Insulin Secretory Granule Proteins from Biosynthetically-Labeled Pancreatic Islets.
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    Chapter 16 Depletion of Highly Abundant Proteins of the Human Blood Plasma: Applications in Proteomics Studies of Psychiatric Disorders.
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    Chapter 17 Simultaneous Two-Dimensional Difference Gel Electrophoresis (2D-DIGE) Analysis of Two Distinct Proteomes.
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    Chapter 18 Selective Reaction Monitoring for Quantitation of Cellular Proteins.
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    Chapter 19 Characterization of a Protein Interactome by Co-Immunoprecipitation and Shotgun Mass Spectrometry.
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    Chapter 20 Using (15)N-Metabolic Labeling for Quantitative Proteomic Analyses.
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    Chapter 21 Multiplex Measurement of Serum Folate Vitamers by UPLC-MS/MS.
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    Chapter 22 UPLC-MS/MS Determination of Deuterated 25-Hydroxyvitamin D (d3-25OHD3) and Other Vitamin D Metabolites for the Measurement of 25OHD Half-Life.
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    Chapter 23 iTRAQ-Based Shotgun Proteomics Approach for Relative Protein Quantification.
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    Chapter 24 (1)H NMR Metabolomic Profiling of Human and Animal Blood Serum Samples.
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    Chapter 25 Lab-on-a-Chip Multiplex Assays.
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    Chapter 26 Multiplex Smartphone Diagnostics.
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    Chapter 27 Development of a User-Friendly App for Assisting Anticoagulation Treatment.
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    Chapter 28 Multiplex Biomarker Approaches to Enable Point-of-Care Testing and Personalized Medicine.
Attention for Chapter 8: Multiplex Analyses Using Real-Time Quantitative PCR.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Citations

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Chapter title
Multiplex Analyses Using Real-Time Quantitative PCR.
Chapter number 8
Book title
Multiplex Biomarker Techniques
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6730-8_8
Pubmed ID
Book ISBNs
978-1-4939-6729-2, 978-1-4939-6730-8
Authors

Steve F. C. Hawkins, Paul C. Guest, Hawkins, Steve F. C., Guest, Paul C.

Editors

Paul C. Guest

Abstract

Quantitative polymerase chain reaction (qPCR) is a routinely used method for the detection and quantitation of gene expression in real time. Multiplex qPCR requires the use of probe-based assays, in which each probe is labeled with a unique fluorescent dye, resulting in different observed colors for each assay. The signal from each dye is used to quantitate the amount of each target separately in the same tube or well. The availability to multiplex therefore allows the measurement of the expression levels of several targets or genes of interest quickly. Here, we describe a method using the SensiFAST and SensiFAST One-Step probe kits which allows simultaneous real-time quantitation of up to 5 amplicons.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 179 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 16%
Student > Master 22 12%
Student > Ph. D. Student 11 6%
Researcher 9 5%
Student > Doctoral Student 7 4%
Other 13 7%
Unknown 88 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 23%
Medicine and Dentistry 19 11%
Agricultural and Biological Sciences 9 5%
Immunology and Microbiology 7 4%
Nursing and Health Professions 4 2%
Other 10 6%
Unknown 88 49%
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 25 May 2020.
All research outputs
#7,671,701
of 23,347,114 outputs
Outputs from Methods in molecular biology
#2,382
of 13,337 outputs
Outputs of similar age
#142,547
of 423,052 outputs
Outputs of similar age from Methods in molecular biology
#245
of 1,075 outputs
Altmetric has tracked 23,347,114 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 13,337 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 423,052 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 53% of its contemporaries.
We're also able to compare this research output to 1,075 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.