↓ Skip to main content

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
  7. Altmetric Badge
    Chapter 6 Virome Sequencing of Stool Samples
  8. Altmetric Badge
    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
  11. Altmetric Badge
    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
  14. Altmetric Badge
    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 16: Construction of a Comprehensive Database from the Existing Viral Sequences Available from the International Nucleotide Sequence Database Collaboration
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Construction of a Comprehensive Database from the Existing Viral Sequences Available from the International Nucleotide Sequence Database Collaboration
Chapter number 16
Book title
The Human Virome
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8682-8_16
Pubmed ID
Book ISBNs
978-1-4939-8681-1, 978-1-4939-8682-8
Authors

Rodrigo García-López, García-López, Rodrigo

Abstract

The progress in viromics research has led to the accumulation of a large number of sequences from different types of viruses obtained from different sources. Most databases are specific to different of species or types of viruses. However, raw sequences, as deposited in the reliable online collections, provide a valuable asset in the exploration of genomic and metagenomics datasets.The International Nucleotide Sequence Database Collaboration (INSDC) is the largest coordinated effort for compiling, sharing, and maintaining the most comprehensive collections of nucleic acids deposited throughout the most important public databases. The compendium includes different types of data such as complete genomes, genes, expressed sequence tags, and data generated by whole genome shotgun analyses spanning all domains of life, as well as the most complete collection of viral sequences available online.This chapter presents simplified computational methods for the automation of viral nucleotide sequence retrieval from online repositories of the INSDC databases, including all available sequences, except synthetic ones. The subsequent steps can be used for obtaining the taxonomy (including ranks: virus type, baltimore classification, order, family, subfamily, genus and species), and split the database into species subsets to dereplicate the sequences for other downstream applications. Only basic computational knowledge is required.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Student > Doctoral Student 2 22%
Researcher 1 11%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Computer Science 2 22%
Nursing and Health Professions 1 11%
Agricultural and Biological Sciences 1 11%
Social Sciences 1 11%
Other 0 0%
Unknown 2 22%
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 23 August 2018.
All research outputs
#12,911,687
of 23,100,534 outputs
Outputs from Methods in molecular biology
#3,246
of 13,208 outputs
Outputs of similar age
#155,345
of 333,760 outputs
Outputs of similar age from Methods in molecular biology
#48
of 249 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 done well, scoring higher than 75% 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 52% 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 79% of its contemporaries.