↓ Skip to main content
What is this page? Embed badge

Plant Pathology

Overview of attention for book
Cover of 'Plant Pathology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Plant Pathology
  3. Altmetric Badge
    Chapter 2 Detection and Identification of Phoma Pathogens of Potato
  4. Altmetric Badge
    Chapter 3 Plant Pathology
  5. Altmetric Badge
    Chapter 4 A real-time multiplex PCR assay used in the identification of closely related fungal pathogens at the species level.
  6. Altmetric Badge
    Chapter 5 Diagnostics of Tree Diseases Caused by Phytophthora austrocedri Species
  7. Altmetric Badge
    Chapter 6 Real-Time LAMP for Chalara fraxinea Diagnosis
  8. Altmetric Badge
    Chapter 7 Plant Pathology
  9. Altmetric Badge
    Chapter 8 Loop-Mediated Isothermal Amplification (LAMP) for Detection of Phytoplasmas in the Field
  10. Altmetric Badge
    Chapter 9 Diagnosis of Phytoplasmas by Real-Time PCR Using Locked Nucleic Acid (LNA) Probes
  11. Altmetric Badge
    Chapter 10 Q-Bank Phytoplasma: A DNA Barcoding Tool for Phytoplasma Identification
  12. Altmetric Badge
    Chapter 11 Plant Pathology
  13. Altmetric Badge
    Chapter 12 Plant Pathology
  14. Altmetric Badge
    Chapter 13 Plant Pathology
  15. Altmetric Badge
    Chapter 14 Plant Pathology
  16. Altmetric Badge
    Chapter 15 SNaPshot and CE-SSCP: Two Simple and Cost-Effective Methods to Reveal Genetic Variability Within a Virus Species
  17. Altmetric Badge
    Chapter 16 Detection and Characterization of Viral Species/Subspecies Using Isothermal Recombinase Polymerase Amplification (RPA) Assays.
  18. Altmetric Badge
    Chapter 17 Virus Testing by PCR and RT-PCR Amplification in Berry Fruit
  19. Altmetric Badge
    Chapter 18 Metagenomics Approaches Based on Virion-Associated Nucleic Acids (VANA): An Innovative Tool for Assessing Without A Priori Viral Diversity of Plants.
  20. Altmetric Badge
    Chapter 19 Plant Pathology
  21. Altmetric Badge
    Chapter 20 Microarray Platform for the Detection of a Range of Plant Viruses and Viroids
  22. Altmetric Badge
    Chapter 21 Plant Pathology
  23. Altmetric Badge
    Chapter 22 Next-Generation Sequencing of Elite Berry Germplasm and Data Analysis Using a Bioinformatics Pipeline for Virus Detection and Discovery
  24. Altmetric Badge
    Chapter 23 Metagenomic next-generation sequencing of viruses infecting grapevines.
  25. Altmetric Badge
    Chapter 24 Droplet Digital PCR for Absolute Quantification of Pathogens
  26. Altmetric Badge
    Chapter 25 Erratum to: Diagnostics of Tree Diseases Caused by Phytophthora austrocedri Species
Attention for Chapter 23: Metagenomic next-generation sequencing of viruses infecting grapevines.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
46 Mendeley
Summary X Dimensions citations
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
Metagenomic next-generation sequencing of viruses infecting grapevines.
Chapter number 23
Book title
Plant Pathology
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2620-6_23
Pubmed ID
25981264
Book ISBNs
978-1-4939-2619-0, 978-1-4939-2620-6
Authors

Burger, Johan T, Maree, Hans J, Johan T. Burger, Hans J. Maree

Abstract

Next-generation sequencing (NGS) technologies, for the first time, provide a truly "complete" representation of the viral (and other) pathogens present in a host organism. This is achieved in an unbiased way, and without any prior biological or molecular knowledge of these pathogen(s). During recent years a number of broad approaches, for most of the popular NGS platforms, have been developed. Here we describe such a protocol-one that accurately and reliably analyze viruses (and viroids) infecting grapevine. Our strategy relies on the synthesis of cDNA sequencing libraries from dsRNA, extracted from diseased grapevine tissues; the sequencing of these on an Illumina platform, and a streamlined bioinformatics pipeline to analyze the NGS data, yielding the virus composition (virome) of a specific grapevine tissue type, organ, entire plant, or even a vineyard.

View on publisher site
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Switzerland 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Master 7 15%
Student > Ph. D. Student 6 13%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 50%
Biochemistry, Genetics and Molecular Biology 8 17%
Immunology and Microbiology 2 4%
Environmental Science 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 March 2016.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from Methods in molecular biology
#5,527
of 13,368 outputs
Outputs of similar age
#212,792
of 356,521 outputs
Outputs of similar age from Methods in molecular biology
#355
of 1,005 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 356,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,005 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.

This page is provided by Altmetric.