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Viral Metagenomics

Overview of attention for book
Cover of 'Viral Metagenomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Host-Associated Bacteriophage Isolation and Preparation for Viral Metagenomics
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    Chapter 2 Small RNA Isolation from Tissues of Grapevine and Woody Plants
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    Chapter 3 Double-Stranded RNA-Enriched Preparations to Identify Viroids by Next-Generation Sequencing
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    Chapter 4 Viral Double-Stranded RNAs (dsRNAs) from Plants: Alternative Nucleic Acid Substrates for High-Throughput Sequencing
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    Chapter 5 Workup of Human Blood Samples for Deep Sequencing of HIV-1 Genomes
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    Chapter 6 Monolith Chromatography as Sample Preparation Step in Virome Studies of Water Samples
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    Chapter 7 Viral Metagenomics Approaches for High-Resolution Screening of Multiplexed Arthropod and Plant Viral Communities
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    Chapter 8 Different Approaches to Discover Mycovirus Associated to Marine Organisms
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    Chapter 9 Use of siRNAs for Diagnosis of Viruses Associated to Woody Plants in Nurseries and Stock Collections
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    Chapter 10 The Use of High-Throughput Sequencing for the Study and Diagnosis of Plant Viruses and Viroids in Pollen
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    Chapter 11 High-Resolution Screening of Viral Communities and Identification of New Pathogens in Fish Using Next-Generation Sequencing
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    Chapter 12 Metagenomic Analyses of the Viruses Detected in Mycorrhizal Fungi and Their Host Orchid
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    Chapter 13 DNA Multiple Sequence Alignment Guided by Protein Domains: The MSA-PAD 2.0 Method
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    Chapter 14 From Whole-Genome Shotgun Sequencing to Viral Community Profiling: The ViromeScan Tool
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    Chapter 15 Shannon Entropy to Evaluate Substitution Rate Variation Among Viral Nucleotide Positions in Datasets of Viral siRNAs
  17. Altmetric Badge
    Chapter 16 Insect Virus Discovery by Metagenomic and Cell Culture-Based Approaches
Attention for Chapter 14: From Whole-Genome Shotgun Sequencing to Viral Community Profiling: The ViromeScan Tool
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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 (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
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Chapter title
From Whole-Genome Shotgun Sequencing to Viral Community Profiling: The ViromeScan Tool
Chapter number 14
Book title
Viral Metagenomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7683-6_14
Pubmed ID
Book ISBNs
978-1-4939-7682-9, 978-1-4939-7683-6
Authors

Simone Rampelli, Silvia Turroni

Abstract

ViromeScan is an innovative metagenomic analysis tool that allows the viral community characterization in terms of taxonomy from raw data of metagenomics sequencing. It efficiently denoises samples from reads of other microorganisms. Users can adopt the same shotgun metagenomic sequencing data to fully characterize complex microbial ecosystems, including bacteria and viruses. Here we apply ViromeScan pipeline to some examples, thus illustrating the processes computed from raw data to the final output.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Master 4 22%
Other 2 11%
Student > Bachelor 1 6%
Professor 1 6%
Other 4 22%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Agricultural and Biological Sciences 4 22%
Immunology and Microbiology 4 22%
Environmental Science 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 3 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 March 2018.
All research outputs
#2,054,538
of 14,082,199 outputs
Outputs from Methods in molecular biology
#492
of 8,739 outputs
Outputs of similar age
#59,592
of 274,525 outputs
Outputs of similar age from Methods in molecular biology
#4
of 6 outputs
Altmetric has tracked 14,082,199 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,739 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 94% 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 274,525 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 78% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.