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The Human Virome

Overview of attention for book
Cover of 'The Human Virome'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Flow Cytometry and Direct Sequencing of Viruses
  3. Altmetric Badge
    Chapter 2 Tissue-Based Universal Virus Detection (TUViD-VM) Protocol for Viral Metagenomics
  4. Altmetric Badge
    Chapter 3 Protocol for Generating Infectious RNA Viromes from Complex Biological Samples
  5. Altmetric Badge
    Chapter 4 Phage on Tap: A Quick and Efficient Protocol for the Preparation of Bacteriophage Laboratory Stocks
  6. Altmetric Badge
    Chapter 5 Extraction and Purification of Viruses from Fecal Samples for Metagenome and Morphology Analyses
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    Chapter 6 Virome Sequencing of Stool Samples
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    Chapter 7 NetoVIR: Modular Approach to Customize Sample Preparation Procedures for Viral Metagenomics
  9. Altmetric Badge
    Chapter 8 Viral Genome Isolation from Human Faeces for Succession Assessment of the Human Gut Virome
  10. Altmetric Badge
    Chapter 9 Introduction to Techniques and Methodologies for Characterizing the Human Respiratory Virome
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    Chapter 10 Targeted Sequencing of Respiratory Viruses in Clinical Specimens for Pathogen Identification and Genome-Wide Analysis
  12. Altmetric Badge
    Chapter 11 Methods for Enrichment and Sequencing of Oral Viral Assemblages: Saliva, Oral Mucosa, and Dental Plaque Viromes
  13. Altmetric Badge
    Chapter 12 A Method for Isolation of the Virome from Plasma Samples
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    Chapter 13 Viral Concentration and Amplification from Human Serum Samples Prior to Application of Next-Generation Sequencing Analysis
  15. Altmetric Badge
    Chapter 14 Identification and Quantification of DNA Viral Populations in Human Urine Using Next-Generation Sequencing Approaches
  16. Altmetric Badge
    Chapter 15 Diversity Analysis in Viral Metagenomes
  17. Altmetric Badge
    Chapter 16 Construction of a Comprehensive Database from the Existing Viral Sequences Available from the International Nucleotide Sequence Database Collaboration
  18. Altmetric Badge
    Chapter 17 Robust Analysis of Time Series in Virome Metagenomics
  19. Altmetric Badge
    Chapter 18 Bioinformatics Assembling and Assessment of Novel Coxsackievirus B1 Genome
Attention for Chapter 12: A Method for Isolation of the Virome from Plasma Samples
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Citations

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Chapter title
A Method for Isolation of the Virome from Plasma Samples
Chapter number 12
Book title
The Human Virome
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8682-8_12
Pubmed ID
Book ISBNs
978-1-4939-8681-1, 978-1-4939-8682-8
Authors

Pilar Domingo-Calap, Juan Vicente Bou, Domingo-Calap, Pilar, Bou, Juan Vicente

Abstract

Virome studies are of special interest nowadays. Understanding viral communities in different body compartments will help guide future personalized treatments and to discern between homeostasis and disease. High-throughput sequencing technologies allow us to detect all the nucleic acids present in a sample, including viral ones, by random sequencing. One of the major challenges in virome studies is the correct isolation of the viral nucleic acids from a specific sample. This can be done during the extraction steps (e.g., enrichment of viral capsids), or during the bioinformatic analysis (e.g., removing all human and bacterial sequences). Furthermore, it is an important remark that the treatment of the sample will strongly influence the results. Samples will be treated differently if the ultimate goal is the study of all replicating and encapsidated viruses, including both RNA and DNA ones, if we are only focused on DNA ones, or if we want to analyze all the possible viral nucleic acids in the specific sample, even if the genome is degraded. Here, we present a technique that allows for isolation of viral nucleic acids from plasma samples.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Master 3 20%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 1 7%
Unknown 5 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Immunology and Microbiology 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 August 2018.
All research outputs
#5,832,182
of 23,100,534 outputs
Outputs from Methods in molecular biology
#1,642
of 13,208 outputs
Outputs of similar age
#100,750
of 333,760 outputs
Outputs of similar age from Methods in molecular biology
#20
of 249 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,208 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 333,760 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 249 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 91% of its contemporaries.