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RNA Bioinformatics

Overview of attention for book
Cover of 'RNA Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Free Energy Minimization to Predict RNA Secondary Structures and Computational RNA Design
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    Chapter 2 RNA Secondary Structure Prediction from Multi-Aligned Sequences
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    Chapter 3 A Simple Protocol for the Inference of RNA Global Pairwise Alignments
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    Chapter 4 De Novo Secondary Structure Motif Discovery Using RNAProfile
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    Chapter 5 Drawing and Editing the Secondary Structure(s) of RNA
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    Chapter 6 Modeling and Predicting RNA Three-Dimensional Structures
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    Chapter 7 Fast Prediction of RNA–RNA Interaction Using Heuristic Algorithm
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    Chapter 8 Quality Control of RNA-Seq Experiments.
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    Chapter 9 Accurate Mapping of RNA-Seq Data.
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    Chapter 10 Quantifying Entire Transcriptomes by Aligned RNA-Seq Data
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    Chapter 11 Transcriptome Assembly and Alternative Splicing Analysis
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    Chapter 12 Detection of post-transcriptional RNA editing events.
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    Chapter 13 Prediction of miRNA Targets
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    Chapter 14 Using Deep Sequencing Data for Identification of Editing Sites in Mature miRNAs
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    Chapter 15 NGS-Trex: An Automatic Analysis Workflow for RNA-Seq Data
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    Chapter 16 e-DNA Meta-Barcoding: From NGS Raw Data to Taxonomic Profiling.
  18. Altmetric Badge
    Chapter 17 Deciphering metatranscriptomic data.
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    Chapter 18 RIP-Seq Data Analysis to Determine RNA–Protein Associations
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    Chapter 19 The ViennaRNA Web Services.
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    Chapter 20 Exploring the RNA Editing Potential of RNA-Seq Data by ExpEdit
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    Chapter 21 A Guideline for the Annotation of UTR Regulatory Elements in the UTRsite Collection
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    Chapter 22 Rfam: Annotating Families of Non-Coding RNA Sequences
  24. Altmetric Badge
    Chapter 23 ASPicDB: A Database Web Tool for Alternative Splicing Analysis
  25. Altmetric Badge
    Chapter 24 Analysis of Alternative Splicing Events in Custom Gene Datasets by AStalavista.
  26. Altmetric Badge
    Chapter 25 Computational Design of Artificial RNA Molecules for Gene Regulation
Attention for Chapter 19: The ViennaRNA Web Services.
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 blog
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1 X user

Citations

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14 Dimensions

Readers on

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60 Mendeley
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Chapter title
The ViennaRNA Web Services.
Chapter number 19
Book title
RNA Bioinformatics
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-2291-8_19
Pubmed ID
25577387
Book ISBNs
978-1-4939-2290-1, 978-1-4939-2291-8
Authors

Andreas R. Gruber, Stephan H. Bernhart, Ronny Lorenz, Andreas R Gruber, Stephan H Bernhart

Editors

Ernesto Picardi

Abstract

The ViennaRNA package is a widely used collection of programs for thermodynamic RNA secondary structure prediction. Over the years, many additional tools have been developed building on the core programs of the package to also address issues related to noncoding RNA detection, RNA folding kinetics, or efficient sequence design considering RNA-RNA hybridizations. The ViennaRNA web services provide easy and user-friendly web access to these tools. This chapter describes how to use this online platform to perform tasks such as prediction of minimum free energy structures, prediction of RNA-RNA hybrids, or noncoding RNA detection. The ViennaRNA web services can be used free of charge and can be accessed via http://rna.tbi.univie.ac.at .

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 8 13%
Student > Master 8 13%
Student > Bachelor 4 7%
Professor > Associate Professor 2 3%
Other 5 8%
Unknown 19 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 30%
Agricultural and Biological Sciences 9 15%
Immunology and Microbiology 2 3%
Medicine and Dentistry 2 3%
Engineering 2 3%
Other 5 8%
Unknown 22 37%
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 16 January 2015.
All research outputs
#3,976,464
of 22,778,347 outputs
Outputs from Methods in molecular biology
#1,030
of 13,093 outputs
Outputs of similar age
#56,365
of 353,320 outputs
Outputs of similar age from Methods in molecular biology
#62
of 983 outputs
Altmetric has tracked 22,778,347 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 13,093 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 353,320 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 84% of its contemporaries.
We're also able to compare this research output to 983 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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