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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 -1592599663 The Use of Protoplasts to Study Innate Immune Responses
  3. Altmetric Badge
    Chapter -1592599653 Plant-Pathogen Interactions
  4. Altmetric Badge
    Chapter -1592599645 Whole-Genome Analysis to Identify Type III-Secreted Effectors
  5. Altmetric Badge
    Chapter -1592599629 <i>In planta</i> Expression of Oomycete and Fungal Genes
  6. Altmetric Badge
    Chapter -1592599619 Plant-Pathogen Interactions
  7. Altmetric Badge
    Chapter -1592599607 <i>Agrobacterium</i>-Mediated Transformation to Create an Insertion Library in <i>Magnaporthe grisea</i>
  8. Altmetric Badge
    Chapter -1592599595 Identification of Components in Disease-Resistance Signaling in <i>Arabidopsis</i> by Map-Based Cloning
  9. Altmetric Badge
    Chapter -1592599585 Plant-Pathogen Interactions
  10. Altmetric Badge
    Chapter -1592599579 Use of Rolling-Circle Amplification for Large-Scale Yeast Two-Hybrid Analyses
  11. Altmetric Badge
    Chapter -1592599565 Preparative Denaturing Isoelectric Focusing for Enhancing Sensitivity of Proteomic Studies
  12. Altmetric Badge
    Chapter -1592599559 Use of Massively Parallel Signature Sequencing to Study Genes Expressed During the Plant Defense Response
  13. Altmetric Badge
    Chapter -1592599543 Use of Microarray Analysis to Dissect the Plant Defense Response
  14. Altmetric Badge
    Chapter -1592599533 Use of Robust-Long Serial Analysis of Gene Expression to Identify Novel Fungal and Plant Genes Involved in Host-Pathogen Interactions
  15. Altmetric Badge
    Chapter -1592599519 Analysis of Gene Function in Rice Through Virus-Induced Gene Silencing
  16. Altmetric Badge
    Chapter -1592599503 Use of RNA Interference to Dissect Defense-Signaling Pathways in Rice
  17. Altmetric Badge
    Chapter -1592599491 Virus-Induced Gene Silencing in Plant Roots
  18. Altmetric Badge
    Chapter -1592599481 Methods for Engineering Resistance to Plant Viruses
  19. Altmetric Badge
    Chapter -1592599467 Development of genetically engineered resistant papaya for papaya ringspot virus in a timely manner: a comprehensive and successful approach.
Attention for Chapter -1592599467: Development of genetically engineered resistant papaya for papaya ringspot virus in a timely manner: a comprehensive and successful approach.
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 14,126)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
56 news outlets
blogs
1 blog
twitter
15 X users
wikipedia
7 Wikipedia pages
video
2 YouTube creators

Citations

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3 Dimensions

Readers on

mendeley
88 Mendeley
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Chapter title
Development of genetically engineered resistant papaya for papaya ringspot virus in a timely manner: a comprehensive and successful approach.
Chapter number -1592599467
Book title
Plant-Pathogen Interactions
Published in
Methods in molecular biology, December 2006
DOI 10.1385/1-59259-966-4:197
Pubmed ID
Book ISBNs
978-1-58829-448-7, 978-1-59259-966-0
Authors

Tripathi S, Suzuki J, Gonsalves D, Savarni Tripathi, Jon Suzuki, Dennis Gonsalves, Tripathi, Savarni, Suzuki, Jon, Gonsalves, Dennis

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Vietnam 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 28%
Student > Master 12 14%
Researcher 8 9%
Student > Doctoral Student 4 5%
Professor 4 5%
Other 11 13%
Unknown 24 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 32%
Biochemistry, Genetics and Molecular Biology 18 20%
Engineering 4 5%
Environmental Science 2 2%
Chemical Engineering 2 2%
Other 7 8%
Unknown 27 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 451. 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 15 July 2023.
All research outputs
#60,191
of 25,152,132 outputs
Outputs from Methods in molecular biology
#6
of 14,126 outputs
Outputs of similar age
#93
of 170,254 outputs
Outputs of similar age from Methods in molecular biology
#1
of 50 outputs
Altmetric has tracked 25,152,132 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,126 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 170,254 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 50 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 99% of its contemporaries.