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Next-Generation MicroRNA Expression Profiling Technology

Overview of attention for book
Cover of 'Next-Generation MicroRNA Expression Profiling Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Controlling miRNA Regulation in Disease
  3. Altmetric Badge
    Chapter 2 Introduction to miRNA Profiling Technologies and Cross-Platform Comparison.
  4. Altmetric Badge
    Chapter 3 Stem-Loop RT-qPCR for MicroRNA Expression Profiling
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    Chapter 4 Poly(T) adaptor rt-PCR.
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    Chapter 5 MicroRNA In Situ Hybridization
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    Chapter 6 Agilent MicroRNA Microarray Profiling System
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    Chapter 7 miRNA Expression Profiling Using Illumina Universal BeadChips
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    Chapter 8 MicroRNA Expression Analysis Using the Affymetrix Platform.
  10. Altmetric Badge
    Chapter 9 Individualized miRNA Assay Panels Using Optically Encoded Beads
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    Chapter 10 Microfluidic Primer Extension Assay
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    Chapter 11 MicroRNA Profiling Using µParaflo Microfluidic Array Technology.
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    Chapter 12 MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform.
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    Chapter 13 Next-Generation Sequencing of miRNAs with Roche 454 GS-FLX Technology: Steps for a Successful Application.
  15. Altmetric Badge
    Chapter 14 Methods for small RNA preparation for digital gene expression profiling by next-generation sequencing.
  16. Altmetric Badge
    Chapter 15 Profiling of Short RNAs Using Helicos Single-Molecule Sequencing.
  17. Altmetric Badge
    Chapter 16 deepBase: Annotation and Discovery of MicroRNAs and Other Noncoding RNAs from Deep-Sequencing Data.
  18. Altmetric Badge
    Chapter 17 PhenomiR: MicroRNAs in Human Diseases and Biological Processes
  19. Altmetric Badge
    Chapter 18 miRNA Expression Profiling: From Reference Genes to Global Mean Normalization
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    Chapter 19 miRNA Data Analysis: Next-Gen Sequencing.
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    Chapter 20 Integrated miRNA Expression Analysis and Target Prediction.
  22. Altmetric Badge
    Chapter 21 miRNAs in Human Cancer.
  23. Altmetric Badge
    Chapter 22 Blood-Based miRNA Preparation for Noninvasive Biomarker Development.
Attention for Chapter 12: MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
7 tweeters
patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
3 CiteULike
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Chapter title
MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform.
Chapter number 12
Book title
Next-Generation MicroRNA Expression Profiling Technology
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-427-8_12
Pubmed ID
Book ISBNs
978-1-61779-426-1, 978-1-61779-427-8
Authors

Shujun Luo, Luo, Shujun

Abstract

Direct sequencing of RNA molecules using next-generation sequencing (NGS) technology has revolutionized the analysis of transcriptome with its massively parallel throughput and low cost. Here, we describe Illumina's microRNA-Seq, a method for sequencing microRNA using the Illumina Genome Analyzer system. The sequence data generated from this method enables direct identifying and profiling of microRNAs in any given organism. It also sheds light in understanding the biogenesis and modification of microRNA.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Italy 1 1%
Brazil 1 1%
Mexico 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 91 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 27%
Student > Ph. D. Student 19 20%
Student > Master 13 13%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 15 15%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 48%
Biochemistry, Genetics and Molecular Biology 15 15%
Medicine and Dentistry 4 4%
Immunology and Microbiology 3 3%
Neuroscience 3 3%
Other 10 10%
Unknown 15 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 May 2022.
All research outputs
#3,813,931
of 21,399,109 outputs
Outputs from Methods in molecular biology
#976
of 12,142 outputs
Outputs of similar age
#37,117
of 248,072 outputs
Outputs of similar age from Methods in molecular biology
#63
of 501 outputs
Altmetric has tracked 21,399,109 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,142 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 92% 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 248,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 501 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.