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PCR Protocols

Overview of attention for book
Cover of 'PCR Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Setup of a PCR Laboratory
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    Chapter 2 Long-Range PCR with a DNA Polymerase Fusion
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    Chapter 3 Isolation of Genomic Insertion Sites of Proviruses Using Splinkerette-PCR-Based Procedures
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    Chapter 4 Lariat-Dependent Nested PCR for Flanking Sequence Determination
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    Chapter 5 CODEHOP PCR and CODEHOP PCR Primer Design
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    Chapter 6 Sequencing of Difficult DNA Regions by SAM Sequencing
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    Chapter 7 A Global Single-Cell cDNA Amplification Method for Quantitative Microarray Analysis
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    Chapter 8 Quantitation of microRNAs by real-time RT-qPCR.
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    Chapter 9 High-Throughput SuperSAGE
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    Chapter 10 Deep Cap Analysis of Gene Expression
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    Chapter 11 Linking Emulsion PCR Haplotype Analysis
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    Chapter 12 PAP-LMPCR: An Improved, Sequence-Selective Method for the In Vivo Analysis of Transcription Factor Occupancy and Chromatin Fine Structure
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    Chapter 13 The Many Faces of MLPA
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    Chapter 14 PCR Protocols
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    Chapter 15 Alu PCR.
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    Chapter 16 Asynchronous PCR
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    Chapter 17 Novel Applications of PCR Through the Use of DNA Substrates
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    Chapter 18 PCR Protocols
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    Chapter 19 Application of Blocking Oligonucleotides to Improve Signal-to-Noise Ratio in a PCR
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    Chapter 20 Asymmetric Overlap Extension PCR Method for Site-Directed Mutagenesis
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    Chapter 21 Ribosome Display: A Technology for Selecting and Evolving Proteins from Large Libraries
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    Chapter 22 GLOBE: Analysis of DNA–Protein Interaction Analysis
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    Chapter 23 PCR DNA-Array Profiling of DNA-Binding Transcription Factor Activities in Adult Mouse Tissues
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    Chapter 24 Nucleotide Exchange and Excision Technology DNA Shuffling and Directed Evolution
Attention for Chapter 8: Quantitation of microRNAs by real-time RT-qPCR.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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1 Facebook page
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1 Wikipedia page

Citations

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9 Dimensions

Readers on

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133 Mendeley
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1 CiteULike
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Chapter title
Quantitation of microRNAs by real-time RT-qPCR.
Chapter number 8
Book title
PCR Protocols
Published in
Methods in molecular biology, October 2010
DOI 10.1007/978-1-60761-944-4_8
Pubmed ID
Book ISBNs
978-1-60761-943-7, 978-1-60761-944-4
Authors

Chen C, Tan R, Wong L, Fekete R, Halsey J, Caifu Chen, Ruoying Tan, Linda Wong, Richard Fekete, Jason Halsey, Chen, Caifu, Tan, Ruoying, Wong, Linda, Fekete, Richard, Halsey, Jason

Abstract

MicroRNAs (miRNAs) are ∼22 nucleotide regulatory RNA molecules that play important roles in controlling developmental and physiological processes in animals and plants. Measuring the level of miRNA expression is a critical step in methods that study the regulation of biological functions and that use miRNA profiles as diagnostic markers for cancer and other diseases. Even though the quantitation of these small miRNA molecules by RT-qPCR is challenging because of their short length and sequence similarity, a number of quantitative RT-qPCR-based miRNA quantitation methods have been introduced since 2004. The most commonly used methods are stem-loop reverse transcription (RT)-based TaqMan(®) MicroRNA assays and arrays. The high sensitivity and specificity, large dynamic range, and simple work flow of TaqMan(®) MicroRNA assays and arrays have made TaqMan analysis the method of choice for miRNA expression profiling and follow-up validation. Other methods such as poly (A) tailing-based and direct RT-based SYBR miRNA assays are also discussed in this chapter.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Norway 1 <1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 125 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Ph. D. Student 25 19%
Student > Master 14 11%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 19 14%
Unknown 28 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 28%
Agricultural and Biological Sciences 37 28%
Medicine and Dentistry 7 5%
Neuroscience 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 13 10%
Unknown 31 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 March 2024.
All research outputs
#8,269,502
of 25,391,701 outputs
Outputs from Methods in molecular biology
#2,491
of 14,174 outputs
Outputs of similar age
#38,626
of 108,611 outputs
Outputs of similar age from Methods in molecular biology
#9
of 23 outputs
Altmetric has tracked 25,391,701 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 14,174 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 108,611 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 63% of its contemporaries.
We're also able to compare this research output to 23 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 65% of its contemporaries.