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Circular RNAs

Overview of attention for book
Cover of 'Circular RNAs'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detection and Reconstruction of Circular RNAs from Transcriptomic Data
  3. Altmetric Badge
    Chapter 2 Deep Computational Circular RNA Analytics from RNA-seq Data
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    Chapter 3 Genome-Wide circRNA Profiling from RNA-seq Data
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    Chapter 4 Analysis of Circular RNAs Using the Web Tool CircInteractome
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    Chapter 5 Characterization and Validation of Circular RNA and Their Host Gene mRNA Expression Using PCR
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    Chapter 6 Detecting Circular RNAs by RNA Fluorescence In Situ Hybridization
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    Chapter 7 Single-Molecule Fluorescence In Situ Hybridization (FISH) of Circular RNA CDR1as
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    Chapter 8 A Highly Efficient Strategy for Overexpressing circRNAs
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    Chapter 9 Constructing GFP-Based Reporter to Study Back Splicing and Translation of Circular RNA
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    Chapter 10 Northern Blot Analysis of Circular RNAs
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    Chapter 11 Nonradioactive Northern Blot of circRNAs
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    Chapter 12 Characterization of Circular RNA Concatemers
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    Chapter 13 Characterization of Circular RNAs (circRNA) Associated with the Translation Machinery
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    Chapter 14 Synthesis and Engineering of Circular RNAs
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    Chapter 15 Preparation of Circular RNA In Vitro
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    Chapter 16 Discovering circRNA-microRNA Interactions from CLIP-Seq Data
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    Chapter 17 Identification of circRNAs for miRNA Targets by Argonaute2 RNA Immunoprecipitation and Luciferase Screening Assays
Attention for Chapter 2: Deep Computational Circular RNA Analytics from RNA-seq Data
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Chapter title
Deep Computational Circular RNA Analytics from RNA-seq Data
Chapter number 2
Book title
Circular RNAs
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7562-4_2
Pubmed ID
29322437
Book ISBNs
978-1-4939-7561-7, 978-1-4939-7562-4
Authors

Tobias Jakobi, Christoph Dieterich

Abstract

Circular RNAs (circRNAs) have been first described as "scrambled exons" in the 1990s. CircRNAs originate from back splicing or exon skipping of linear RNA templates and have continuously gained attention in recent years due to the availability of high-throughput whole-transcriptome sequencing methods. Numerous manuscripts describe thousands of circRNAs throughout uni- and multicellular eukaryote species and demonstrated that they are conserved, stable, and abundant in specific tissues or conditions. This manuscript provides a walk-through of our bioinformatics toolbox, which covers all aspects of in silico circRNA analysis, starting from raw sequencing data and back-splicing junction discovery to circRNA quantitation and reconstruction of internal the circRNA structure.

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Student > Master 4 21%
Researcher 4 21%
Student > Bachelor 1 5%
Student > Postgraduate 1 5%
Other 1 5%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 32%
Agricultural and Biological Sciences 3 16%
Computer Science 2 11%
Neuroscience 2 11%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 January 2018.
All research outputs
#15,488,947
of 23,016,919 outputs
Outputs from Methods in molecular biology
#5,388
of 13,165 outputs
Outputs of similar age
#269,777
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

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