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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 13: Characterization of Circular RNAs (circRNA) Associated with the Translation Machinery
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Chapter title
Characterization of Circular RNAs (circRNA) Associated with the Translation Machinery
Chapter number 13
Book title
Circular RNAs
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7562-4_13
Pubmed ID
Book ISBNs
978-1-4939-7561-7, 978-1-4939-7562-4
Authors

Deniz Bartsch, Anne Zirkel, Leo Kurian

Abstract

A substantial proportion of the currently annotated genes in eukaryotes are proposed to function as RNA molecules (>200 bp) with no significant protein coding potential, currently classified as long noncoding RNAs (lncRNA). A distinct subgroup of lncRNAs is circular RNAs (circRNAs), which can be easily identified by unique junction reads, resulting from their biogenesis. CircRNAs are largely cytosolic and thought to either code for micro-peptides or facilitate gene regulation by sequestering microRNAs (miRNAs) or RNA-binding proteins (RBPs) from their targets. Interrogation of the interaction of circRNAs with cellular macromolecular machineries could indicate their mode of action. Here, we detail a sucrose gradient-based method to pinpoint association of a given circRNA (or any transcript of interest) with distinct ribosomal fractions. This method can evaluate the coding potential of candidate circRNAs (or any transcript of interest) and its association with the translation machinery.

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The data shown below were collected from the profiles of 2 X users 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Student > Master 4 14%
Researcher 4 14%
Student > Bachelor 4 14%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 41%
Agricultural and Biological Sciences 4 14%
Immunology and Microbiology 3 10%
Neuroscience 3 10%
Social Sciences 1 3%
Other 1 3%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#14,964,325
of 23,016,919 outputs
Outputs from Methods in molecular biology
#4,729
of 13,165 outputs
Outputs of similar age
#255,746
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#508
of 1,498 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 has gotten more attention than average, scoring higher than 59% 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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 has gotten more attention than average, scoring higher than 60% of its contemporaries.