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Quantitative Real-Time PCR

Overview of attention for book
Cover of 'Quantitative Real-Time PCR'

Table of Contents

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    Book Overview
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    Chapter 1 Twenty Years of qPCR: A Mature Technology?
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    Chapter 2 Minimum Information Necessary for Quantitative Real-Time PCR Experiments
  4. Altmetric Badge
    Chapter 3 Selection of Reliable Reference Genes for RT-qPCR Analysis.
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    Chapter 4 Introduction to Digital PCR
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    Chapter 5 mRNA and microRNA Purity and Integrity: The Key to Success in Expression Profiling
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    Chapter 6 Quantitative Real-Time PCR
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    Chapter 7 Absolute Quantification of Viral DNA: The Quest for Perfection
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    Chapter 8 A Multiplex Real-Time PCR-Platform Integrated into Automated Extraction Method for the Rapid Detection and Measurement of Oncogenic HPV Type-Specific Viral DNA Load from Cervical Samples
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    Chapter 9 Real-Time PCR Detection of Mycoplasma pneumoniae in the Diagnosis of Community-Acquired Pneumonia.
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    Chapter 10 A Sensible Technique to Detect Mollicutes Impurities in Human Cells Cultured in GMP Condition
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    Chapter 11 Real-time Quantification Assay to Monitor BCR-ABL1 Transcripts in Chronic Myeloid Leukemia
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    Chapter 12 A Reliable Assay for Rapidly Defining Transplacental Metastasis Using Quantitative PCR
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    Chapter 13 Circulating Cell-Free DNA in Cancer
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    Chapter 14 Gene Expression Analysis by qPCR in Clinical Kidney Transplantation
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    Chapter 15 Posttranscriptional Regulatory Networks: From Expression Profiling to Integrative Analysis of mRNA and MicroRNA Data
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    Chapter 16 Quantitative Real-Time PCR
  18. Altmetric Badge
    Chapter 17 Quantitative Real-Time PCR
Attention for Chapter 5: mRNA and microRNA Purity and Integrity: The Key to Success in Expression Profiling
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Citations

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Chapter title
mRNA and microRNA Purity and Integrity: The Key to Success in Expression Profiling
Chapter number 5
Book title
Quantitative Real-Time PCR
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0733-5_5
Pubmed ID
Book ISBNs
978-1-4939-0732-8, 978-1-4939-0733-5
Authors

Benedikt Kirchner, Vijay Paul, Irmgard Riedmaier, Michael W. Pfaffl, Kirchner, Benedikt, Paul, Vijay, Riedmaier, Irmgard, Pfaffl, Michael W.

Abstract

RNA quality control is a crucial step in guaranteeing integer nondegraded RNA and receiving meaningful results in gene expression profiling experiments, using micro-array, RT-qPCR (Reverse-Transcription quantitative PCR), or Next-Generation-Sequencing by RNA-Seq or small-RNA Seq. Therefore, assessment of RNA integrity and purity is very essential prior to gene expression analysis of sample RNA to ensure the accuracy of any downstream applications. RNA samples should be nondegraded or fragmented and free of protein, genomic DNA, nucleases, and enzymatic inhibitors. Herein we describe the current state-of-the-art RNA quality assessment by combining UV/Vis spectrophotometry and microfluidic capillary electrophoresis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Austria 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Student > Bachelor 12 21%
Student > Master 6 10%
Researcher 5 9%
Lecturer 2 3%
Other 6 10%
Unknown 12 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 26%
Agricultural and Biological Sciences 11 19%
Medicine and Dentistry 5 9%
Neuroscience 4 7%
Immunology and Microbiology 2 3%
Other 9 16%
Unknown 12 21%
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 12 April 2021.
All research outputs
#13,129,458
of 23,146,350 outputs
Outputs from Methods in molecular biology
#3,346
of 13,275 outputs
Outputs of similar age
#158,909
of 307,098 outputs
Outputs of similar age from Methods in molecular biology
#141
of 590 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,275 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 307,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 590 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.