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miRNA Biogenesis

Overview of attention for book
Cover of 'miRNA Biogenesis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 High-Throughput Characterization of Primary microRNA Transcripts
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    Chapter 2 Identifying Pri-miRNA Transcription Start Sites
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    Chapter 3 Metabolic Pulse-Chase RNA Labeling for pri-miRNA Processing Dynamics
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    Chapter 4 In Vitro System for Coupling RNAP II Transcription to Primary microRNA Processing and a Three-Way System for RNAP II Transcription/Splicing/microRNA Processing
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    Chapter 5 Purification of Microprocessor-Associated Factors
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    Chapter 6 Inhibiting Pri-miRNA Processing with Target Site Blockers
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    Chapter 7 MicroRNA Analysis Using the Quantitative Real-Time PCR Reaction
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    Chapter 8 MicroRNA Analysis Using Next-Generation Sequencing
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    Chapter 9 Identification of microRNA Precursor-Associated Proteins
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    Chapter 10 Analysis of 3′ End Modifications in microRNAs by High-Throughput Sequencing
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    Chapter 11 Uncovering the Stability of Mature miRNAs by 4-Thio-Uridine Metabolic Labeling
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    Chapter 12 Detection of microRNA-Target Interactions by Chimera PCR (ChimP)
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    Chapter 13 High-Quality Overlapping Paired-End Reads for the Detection of A-to-I Editing on Small RNA
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    Chapter 14 Targeting miRNA for Therapeutics Using a Micronome Based Method for Identification of miRNA-mRNA Pairs and Validation of Key Regulator miRNA
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    Chapter 15 Method for Detection of miRNAs in Non-Model Organisms with Unreported Database
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    Chapter 16 Detection and Verification of Mammalian Mirtrons by Northern Blotting
  18. Altmetric Badge
    Chapter 17 Detecting Agotrons in Ago CLIPseq Data
Attention for Chapter 8: MicroRNA Analysis Using Next-Generation Sequencing
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Citations

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Chapter title
MicroRNA Analysis Using Next-Generation Sequencing
Chapter number 8
Book title
miRNA Biogenesis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8624-8_8
Pubmed ID
29959676
Book ISBNs
978-1-4939-8623-1, 978-1-4939-8624-8
Authors

Monika Kolanowska, Anna Kubiak, Krystian Jażdżewski, Anna Wójcicka, Kolanowska, Monika, Kubiak, Anna, Jażdżewski, Krystian, Wójcicka, Anna

Abstract

Next-generation sequencing (NGS) enables the analysis of both microRNA expression and sequence, allowing for elucidation of a comprehensive landscape of miRNAs in a given tissue and sample type. NGS analysis requires high-quality RNA extraction and preparation of microRNA libraries. In this chapter, we describe the methods used for RNA extraction from tissue specimens, serum, cytological slides, and formalin-fixed paraffin-embedded samples. Although the described library preparation and sequencing approaches are based on Illumina NextSeq 500 sequencing technology, the presented principles shall be compatible with other commercially available sequencing platforms.

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X Demographics

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Student > Bachelor 6 14%
Student > Master 5 12%
Researcher 5 12%
Professor > Associate Professor 2 5%
Other 4 10%
Unknown 12 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 36%
Medicine and Dentistry 3 7%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 12%
Unknown 14 33%
Attention Score in Context

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 19 March 2020.
All research outputs
#4,192,698
of 23,092,602 outputs
Outputs from Methods in molecular biology
#1,103
of 13,207 outputs
Outputs of similar age
#91,304
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#93
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 442,643 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 79% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.

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