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Plant-Pathogen Interactions

Overview of attention for book
Cover of 'Plant-Pathogen Interactions'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Specific Detection and Quantification of Major Fusarium spp. Associated with Cereal and Pulse Crops
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    Chapter 2 Distinguishing Puccinia striiformis f. sp. tritici Isolates Using Genomic Sequencing: A Case Study
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    Chapter 3 DNA-Barcoding Identification of Plant Pathogens for Disease Diagnostics
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    Chapter 4 Real-Time Portable LAMP Assay for a Rapid Detection of Xylella fastidiosa In-Field
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    Chapter 5 Selective Quantification of Chemotropic Responses of Fusarium graminearum
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    Chapter 6 Live-Cell Visualization of Early Stages of Root Colonization by the Vascular Wilt Pathogen Fusarium oxysporum
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    Chapter 7 Transfection of Barley Leaf Protoplasts with a Fluorescently Tagged Fungal Effector for In Planta Localization Studies in Barley
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    Chapter 8 A Bioinformatic Guide to Identify Protein Effectors from Phytopathogens
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    Chapter 9 Unraveling Plant-Pathogen Interactions in Cereals Using RNA-seq.
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    Chapter 10 RNA-Seq Data Processing in Plant-Pathogen Interaction System: A Case Study
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    Chapter 11 Differential Expression Feature Extraction (DEFE): A Case Study in Wheat FHB RNA-Seq Data Analysis
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    Chapter 12 Proteomic Profiling of Host Response in the Cereal Crop Triticum aestivum to the Mycotoxin, 15-Acetyldeoxynivalenol, Produced by the Fungal Pathogen, Fusarium graminearum
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    Chapter 13 Quantitative Phosphoproteome Analysis of the Interaction Between Fusarium graminearum and Triticum aestivum
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    Chapter 14 Fatty Acid Profiling of Grapevine Extracellular Compartment
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    Chapter 15 Identifying Fungal Secondary Metabolites and Their Role in Plant Pathogenesis
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    Chapter 16 Eliciting Targeted Mutations in Medicago sativa Using CRISPR/Cas9-Mediated Genome Editing: A Potential Tool for the Improvement of Disease Resistance
Attention for Chapter 8: A Bioinformatic Guide to Identify Protein Effectors from Phytopathogens
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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 (74th percentile)

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Chapter title
A Bioinformatic Guide to Identify Protein Effectors from Phytopathogens
Chapter number 8
Book title
Plant-Pathogen Interactions
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3159-1_8
Book ISBNs
978-1-07-163158-4, 978-1-07-163159-1
Authors

Blackman, Christopher, Subramaniam, Rajagopal

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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 23 December 2023.
All research outputs
#15,757,392
of 25,046,511 outputs
Outputs from Methods in molecular biology
#4,633
of 14,097 outputs
Outputs of similar age
#224,760
of 472,015 outputs
Outputs of similar age from Methods in molecular biology
#180
of 720 outputs
Altmetric has tracked 25,046,511 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,097 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 66% 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 472,015 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 720 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 74% of its contemporaries.