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Plant Chemical Genomics

Overview of attention for book
Cover of 'Plant Chemical Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multi-Parametric Screening in Arabidopsis thaliana Seedlings
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    Chapter 2 Novel Micro-Phenotyping Approach to Chemical Genetic Screening for Increased Plant Tolerance to Abiotic Stress
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    Chapter 3 Method for Ultrarapid High-Content Screening for Biologically Active Chemicals Using Plant Pollen
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    Chapter 4 A High-Throughput Chemical Screening Method for Inhibitors and Potentiators of Hypersensitive Cell Death Using Suspension Cell Culture of Arabidopsis thaliana
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    Chapter 5 High-Throughput Screening of Chemical Compound Libraries for Modulators of Salicylic Acid Signaling by In Situ Monitoring of Glucuronidase-Based Reporter Gene Expression
  7. Altmetric Badge
    Chapter 6 Identification of Chemical Inducers of the Phosphate-Starvation Signaling Pathway in A. thaliana Using Chemical Genetics
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    Chapter 7 Phenotype-Based Screening of Small Molecules to Modify Plant Cell Walls Using BY-2 Cells
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    Chapter 8 Small-Molecule Screening to Increase Agrobacterium -Mediated Transformation Efficiency in Legumes
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    Chapter 9 High-Throughput In Vitro Screening for Inhibitors of Cereal α-Glucosidase
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    Chapter 10 Chemical Screening for Strigolactone Receptor Antagonists Using Arabidopsis thaliana
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    Chapter 11 Chemical Control of ABA Receptors to Enable Plant Protection Against Water Stress
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    Chapter 12 Modes of Action Study of Seed Germination Inhibitor Germostatin by Forward Genetics Screening
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    Chapter 13 Enantiodifferential Approach for the Target Protein Detection of the Jasmonate Glucoside That Controls the Leaf Closure of Samanea saman
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    Chapter 14 Using the QCM Biosensor-Based T7 Phage Display Combined with Bioinformatics Analysis for Target Identification of Bioactive Small Molecule
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    Chapter 15 Genomic Identification and Analysis of Specialized Metabolite Biosynthetic Gene Clusters in Plants Using PlantiSMASH
  17. Altmetric Badge
    Chapter 16 Chemical Genomics Translatability from Unicellular to Multicellular Models
  18. Altmetric Badge
    Chapter 17 Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
  19. Altmetric Badge
    Chapter 18 FnCpf1-Mediated Targeted Mutagenesis in Plants
  20. Altmetric Badge
    Chapter 19 Erratum to: Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
Attention for Chapter 17: Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Chapter title
Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
Chapter number 17
Book title
Plant Chemical Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7874-8_17
Pubmed ID
Book ISBNs
978-1-4939-7873-1, 978-1-4939-7874-8
Authors

Brittany Jack, Prachee Avasthi, Jack, Brittany, Avasthi, Prachee

Abstract

Flagella of the unicellular green alga Chlamydomonas reinhardtii are nearly identical to cilia of vertebrate cells and provide an excellent model to study ciliogenesis. Cilia and flagella are important organelles used for motility and sensing the extracellular environment. Abnormalities in cilia structure or ciliary dysfunction can have devastating consequences ranging from diabetes and obesity to polycystic kidney disease and mental retardation. Small-molecule inhibitor libraries can be used to screen for flagellum-associated phenotypes in assembly, length, motility, deflagellation, and cellular toxicity. These phenotypes can be assessed from direct microscopic visualization and custom-designed assays. These methods identify fundamental regulators of ciliary biology as well as potential therapeutic interventions for ciliopathies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Other 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Agricultural and Biological Sciences 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 May 2018.
All research outputs
#14,715,510
of 25,750,437 outputs
Outputs from Methods in molecular biology
#3,807
of 14,341 outputs
Outputs of similar age
#222,340
of 451,998 outputs
Outputs of similar age from Methods in molecular biology
#295
of 1,486 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,341 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 73% 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 451,998 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 50% of its contemporaries.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.