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Plant Virology Protocols

Overview of attention for book
Cover of 'Plant Virology Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Detection of Plant Viruses in Mixed Infection by a Macroarray-Assisted Method
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    Chapter 2 Rt-PCR and real-time rt-PCR methods for the detection of potato virus y in potato leaves and tubers.
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    Chapter 3 A New Method to Isolate Total dsRNA
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    Chapter 4 Multiplex RT-PCR Method for the Simultaneous Detection of Nine Grapevine Viruses
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    Chapter 5 Detection Methods for Rice Viruses by a Reverse-Transcription Loop-Mediated Isothermal Amplification (RT-LAMP).
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    Chapter 6 Real-Time PCR Protocols for the Quantification of the Begomovirus Tomato Yellow Leaf Curl Sardinia Virus in Tomato Plants and in Its Insect Vector
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    Chapter 7 Detection and Analysis of Non-retroviral RNA Virus-Like Elements in Plant, Fungal, and Insect Genomes.
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    Chapter 8 Detection of Plant Viruses in Natural Environments by Using RNA-Seq
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    Chapter 9 Cloning and Profiling of Small RNAs from Cucumber Mosaic Virus Satellite RNA
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    Chapter 10 Drawing siRNAs of Viral Origin Out from Plant siRNAs Libraries.
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    Chapter 11 Viral detection by high-throughput sequencing.
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    Chapter 12 Plant Virology Protocols
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    Chapter 13 Detection and characterization of mycoviruses in arbuscular mycorrhizal fungi by deep-sequencing.
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    Chapter 14 SuperSAGE as an Analytical Tool for Host and Viral Gene Expression.
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    Chapter 15 Microarray Analysis of R -Gene-Mediated Resistance to Viruses
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    Chapter 16 Construction of Infectious cDNA Clones Derived from the Potyviruses Clover Yellow Vein Virus and Bean Yellow Mosaic Virus
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    Chapter 17 Virus-Induced Gene Silencing of N Gene in Tobacco by Apple Latent Spherical Virus Vectors
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    Chapter 18 Simplified Methods for the Construction of RNA and DNA Virus Infectious Clones
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    Chapter 19 Efficient double-stranded RNA production methods for utilization in plant virus control.
  21. Altmetric Badge
    Chapter 20 Detection of plant virus in meristem by immunohistochemistry and in situ hybridization.
Attention for Chapter 14: SuperSAGE as an Analytical Tool for Host and Viral Gene Expression.
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Chapter title
SuperSAGE as an Analytical Tool for Host and Viral Gene Expression.
Chapter number 14
Book title
Plant Virology Protocols
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1743-3_14
Pubmed ID
Book ISBNs
978-1-4939-1742-6, 978-1-4939-1743-3
Authors

Matsumura H, Krüger DH, Kahl G, Terauchi R, Hideo Matsumura, Detlev H. Krüger, Günter Kahl, Ryohei Terauchi, Matsumura, Hideo, Krüger, Detlev H., Kahl, Günter, Terauchi, Ryohei

Abstract

SuperSAGE is a tag-based transcript profiling method, which allows to analyze the expression of thousands of genes at a time. In SuperSAGE, 26 bp tags are extracted from cDNA using the type III restriction enzyme, EcoP15I. In SuperSAGE, the amount of transcripts was represented by tag counts. Taking advantage of uniqueness of the 26 bp tags, host and virus transcripts can be monitored in virus-infected cells. Combining next generation sequencing technology, we established High-throughput SuperSAGE (Ht-SuperSAGE), which allows the analysis of multiple samples with reduced time and cost. In this chapter, we present the protocol of Ht-SuperSAGE involving a recently available benchtop type next generation sequencer.

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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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 75%
Professor > Associate Professor 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 100%
Biochemistry, Genetics and Molecular Biology 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2014.
All research outputs
#14,201,538
of 22,765,347 outputs
Outputs from Methods in molecular biology
#4,174
of 13,090 outputs
Outputs of similar age
#132,059
of 255,128 outputs
Outputs of similar age from Methods in molecular biology
#26
of 130 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 255,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.