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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
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    Chapter 8 Viral Genome Isolation from Human Faeces for Succession Assessment of the Human Gut Virome
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    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
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    Chapter 11 Methods for Enrichment and Sequencing of Oral Viral Assemblages: Saliva, Oral Mucosa, and Dental Plaque Viromes
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    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
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    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
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    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 14: Identification and Quantification of DNA Viral Populations in Human Urine Using Next-Generation Sequencing Approaches
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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Citations

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Chapter title
Identification and Quantification of DNA Viral Populations in Human Urine Using Next-Generation Sequencing Approaches
Chapter number 14
Book title
The Human Virome
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8682-8_14
Pubmed ID
30128998
Book ISBNs
978-1-4939-8681-1, 978-1-4939-8682-8
Authors

Tasha M. Santiago-Rodriguez, Santiago-Rodriguez, Tasha M.

Abstract

The human urinary virome is comprised by diverse communities of both eukaryotic viruses and bacteriophages. Identification and quantification of human urinary viruses was limited to PCR-based and culture methods. Detection of viruses in human urine has long been associated with disease, but advances in next-generation sequencing have shown that it harbors robust viral communities. Human urinary viral communities are mainly comprised by bacteriophages and Human Papillomaviruses (HPVs) that remain to be characterized in association with health and diverse urinary disease states. In the present chapter, the methods to identify and quantify DNA viral populations in human urine using next-generation sequencing are described.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Student > Bachelor 4 13%
Researcher 4 13%
Professor > Associate Professor 2 7%
Professor 1 3%
Other 2 7%
Unknown 8 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 37%
Medicine and Dentistry 2 7%
Immunology and Microbiology 2 7%
Environmental Science 1 3%
Computer Science 1 3%
Other 0 0%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 April 2019.
All research outputs
#13,108,031
of 23,100,534 outputs
Outputs from Methods in molecular biology
#3,332
of 13,208 outputs
Outputs of similar age
#159,638
of 333,760 outputs
Outputs of similar age from Methods in molecular biology
#53
of 249 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 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 73% 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 51% 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 well, scoring higher than 77% of its contemporaries.

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