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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
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    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
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    Chapter 16 Chemical Genomics Translatability from Unicellular to Multicellular Models
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    Chapter 17 Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
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    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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

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5 tweeters

Citations

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1 Dimensions

Readers on

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3 Mendeley
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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

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.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 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

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 01 June 2018.
All research outputs
#6,679,928
of 13,020,439 outputs
Outputs from Methods in molecular biology
#1,701
of 8,441 outputs
Outputs of similar age
#110,897
of 271,705 outputs
Outputs of similar age from Methods in molecular biology
#2
of 2 outputs
Altmetric has tracked 13,020,439 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,441 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 79% 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 271,705 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 58% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.