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RNA Mapping

Overview of attention for book
Cover of 'RNA Mapping'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Full-Length Characterization of Transcribed Genomic Regions
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    Chapter 2 Rapid Mapping of RNA 3′ and 5′ Ends
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    Chapter 3 Single Nucleotide Mapping of RNA 5′ and 3′ Ends
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    Chapter 4 Analysis of RNA Secondary Structure
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    Chapter 5 Tertiary Structure Mapping of the Pri-miRNA miR-17~92
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    Chapter 6 In Situ Hybridization Detection of miRNA Using LNA™ Oligonucleotides
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    Chapter 7 Quantification of miRNAs by a Simple and Specific qPCR Method
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    Chapter 8 RNA Isolation for Small RNA Next-Generation Sequencing from Acellular Biofluids
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    Chapter 9 Sequencing Small RNA: Introduction and Data Analysis Fundamentals
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    Chapter 10 Measuring Expression Levels of Small Regulatory RNA Molecules from Body Fluids and Formalin-Fixed, Paraffin-Embedded Samples
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    Chapter 11 MicroRNA Profiling in Plasma or Serum Using Quantitative RT-PCR
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    Chapter 12 MicroRNA Profiling of Exosomes Isolated from Biofluids and Conditioned Media
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    Chapter 13 Isolation of Urinary Exosomes for RNA Biomarker Discovery Using a Simple, Fast, and Highly Scalable Method
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    Chapter 14 Identification of Actively Translated mRNAs
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    Chapter 15 Mapping of Internal Ribosome Entry Sites (IRES)
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    Chapter 16 Mapping of Protein Binding RNA Elements
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    Chapter 17 Purification of RNA-Binding Proteins
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    Chapter 18 De Novo Approach to Classify Protein-Coding and Noncoding Transcripts Based on Sequence Composition
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    Chapter 19 Computational Methods to Predict Long Noncoding RNA Functions Based on Co-expression Network
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    Chapter 20 MicroRNA Biogenesis: Dicing Assay
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    Chapter 21 Faster Experimental Validation of microRNA Targets Using Cold Fusion Cloning and a Dual Firefly- Renilla Luciferase Reporter Assay
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    Chapter 22 Experimental Validation of Predicted Mammalian MicroRNAs of Mirtron Origin
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    Chapter 23 A Guide for miRNA Target Prediction and Analysis Using Web-Based Applications
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    Chapter 24 Tapping MicroRNA Regulation Networks Through Integrated Analysis of MicroRNA–mRNA High-Throughput Profiles
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    Chapter 25 miRWalk Database for miRNA–Target Interactions
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    Chapter 26 A Schematic Workflow for Collecting Information About the Interaction Between Copy Number Variants and MicroRNAs Using Existing Resources
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    Chapter 27 SYBR® Green and TaqMan® Quantitative PCR Arrays: Expression Profile of Genes Relevant to a Pathway or a Disease State
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    Chapter 28 Comprehensive Meta-analysis of MicroRNA Expression Using a Robust Rank Aggregation Approach
Attention for Chapter 9: Sequencing Small RNA: Introduction and Data Analysis Fundamentals
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 blog

Citations

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10 Mendeley
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Chapter title
Sequencing Small RNA: Introduction and Data Analysis Fundamentals
Chapter number 9
Book title
RNA Mapping
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1062-5_9
Pubmed ID
Book ISBNs
978-1-4939-1061-8, 978-1-4939-1062-5
Authors

Jai Prakash Mehta, Mehta, Jai Prakash

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Bachelor 2 20%
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 50%
Biochemistry, Genetics and Molecular Biology 2 20%
Materials Science 1 10%
Engineering 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 February 2019.
All research outputs
#5,959,104
of 23,043,346 outputs
Outputs from Methods in molecular biology
#1,733
of 13,194 outputs
Outputs of similar age
#69,154
of 306,688 outputs
Outputs of similar age from Methods in molecular biology
#73
of 589 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% 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 306,688 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 76% of its contemporaries.
We're also able to compare this research output to 589 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.