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Plant-Pathogen Interactions

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Galaxy as a platform for identifying candidate pathogen effectors.
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    Chapter 2 Bioinformatic analysis of expression data to identify effector candidates.
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    Chapter 3 Two-Dimensional Data Binning for the Analysis of Genome Architecture in Filamentous Plant Pathogens and Other Eukaryotes
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    Chapter 4 On the statistics of identifying candidate pathogen effectors.
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    Chapter 5 High-Throughput Imaging of Plant Immune Responses
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    Chapter 6 In Vivo Protein-Protein Interaction Studies with BiFC: Conditions, Cautions, and Caveats.
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    Chapter 7 Particle bombardment-mediated transient expression to identify localization signals in plant disease resistance proteins and target sites for the proteolytic activity of pathogen effectors.
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    Chapter 8 Purification of Fungal Haustoria from Infected Plant Tissue by Flow Cytometry
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    Chapter 9 Functional characterization of nematode effectors in plants.
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    Chapter 10 Silencing of Aphid Genes by Feeding on Stable Transgenic Arabidopsis thaliana.
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    Chapter 11 Leaf-Disc Assay Based on Transient Over-Expression in Nicotiana benthamiana to Allow Functional Screening of Candidate Effectors from Aphids.
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    Chapter 12 A Growth Quantification Assay for Hyaloperonospora arabidopsidis Isolates in Arabidopsis thaliana
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    Chapter 13 Simple Quantification of In Planta Fungal Biomass
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    Chapter 14 Virus-Induced Gene Silencing and Agrobacterium tumefaciens-Mediated Transient Expression in Nicotiana tabacum
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    Chapter 15 DIGE-ABPP by Click Chemistry: Pairwise Comparison of Serine Hydrolase Activities from the Apoplast of Infected Plants.
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    Chapter 16 A Simple and Fast Protocol for the Protein Complex Immunoprecipitation (Co-IP) of Effector: Host Protein Complexes
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    Chapter 17 An Arabidopsis and Tomato Mesophyll Protoplast System for Fast Identification of Early MAMP-Triggered Immunity-Suppressing Effectors
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    Chapter 18 Production of RXLR Effector Proteins for Structural Analysis by X-Ray Crystallography
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    Chapter 19 The Do's and Don'ts of Effectoromics.
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    Chapter 20 Protoplast Cell Death Assay to Study Magnaporthe oryzae AVR Gene Function in Rice
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    Chapter 21 A Bacterial Type III Secretion-Based Delivery System for Functional Assays of Fungal Effectors in Cereals
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    Chapter 22 Genomic DNA Library Preparation for Resistance Gene Enrichment and Sequencing (RenSeq) in Plants.
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
19 tweeters
f1000
1 research highlight platform

Readers on

mendeley
96 Mendeley
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Title
Plant-Pathogen Interactions
Published by
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-986-4
ISBNs
978-1-62703-985-7, 978-1-62703-986-4
Authors

Paul Birch, John T. Jones, Jorunn I.B. Bos

Editors

Birch, Paul, Jones, John T., Bos, Jorunn I.B.

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 7%
Researcher 4 4%
Student > Master 4 4%
Lecturer > Senior Lecturer 2 2%
Student > Bachelor 2 2%
Other 2 2%
Unknown 75 78%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 13%
Biochemistry, Genetics and Molecular Biology 5 5%
Immunology and Microbiology 1 1%
Engineering 1 1%
Unknown 77 80%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 April 2020.
All research outputs
#2,395,031
of 16,046,842 outputs
Outputs from Methods in molecular biology
#509
of 9,313 outputs
Outputs of similar age
#49,219
of 287,999 outputs
Outputs of similar age from Methods in molecular biology
#11
of 345 outputs
Altmetric has tracked 16,046,842 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,313 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 94% 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 287,999 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.