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Plant Metabolism

Overview of attention for book
Plant Metabolism
Humana Press

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 MeRy-B, a Metabolomic Database and Knowledge Base for Exploring Plant Primary Metabolism
  3. Altmetric Badge
    Chapter 2 Targeted Deuteration of Polyphenolics for Their Qualitative and Quantitative Metabolomic Analysis in Plant-Derived Extracts
  4. Altmetric Badge
    Chapter 3 Relative Quantitation in Single-Cell Metabolomics by Laser Ablation Electrospray Mass Spectrometry
  5. Altmetric Badge
    Chapter 4 Quantification of Plant Volatiles
  6. Altmetric Badge
    Chapter 5 Quantitative Imaging Approaches for Small-Molecule Measurements Using FRET Sensors in Plants.
  7. Altmetric Badge
    Chapter 6 Isotopomer Measurement Techniques in Metabolic Flux Analysis I: Nuclear Magnetic Resonance
  8. Altmetric Badge
    Chapter 7 Isotopomer Measurement Techniques in Metabolic Flux Analysis II: Mass Spectrometry
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    Chapter 8 Mathematical Modeling of Isotope Labeling Experiments for Metabolic Flux Analysis
  10. Altmetric Badge
    Chapter 9 Optimal Design of Isotope Labeling Experiments
  11. Altmetric Badge
    Chapter 10 Putting the Plant Metabolic Network Pathway Databases to Work: Going Offline to Gain New Capabilities
  12. Altmetric Badge
    Chapter 11 Elucidation of Metabolic Pathways from Enzyme Classification Data
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    Chapter 12 Plant Metabolism
  14. Altmetric Badge
    Chapter 13 Genome-Scale Models of Plant Metabolism
  15. Altmetric Badge
    Chapter 14 Elementary Flux Modes, Flux Balance Analysis, and Their Application to Plant Metabolism
  16. Altmetric Badge
    Chapter 15 Systems Approaches to Unraveling Plant Metabolism: Identifying Biosynthetic Genes of Secondary Metabolic Pathways
  17. Altmetric Badge
    Chapter 16 Applications of Kinetic Modeling to Plant Metabolism
  18. Altmetric Badge
    Chapter 17 Kinetic Modeling of Plant Metabolism and Its Predictive Power: Peppermint Essential Oil Biosynthesis as an Example
Attention for Chapter 5: Quantitative Imaging Approaches for Small-Molecule Measurements Using FRET Sensors in Plants.
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Chapter title
Quantitative Imaging Approaches for Small-Molecule Measurements Using FRET Sensors in Plants.
Chapter number 5
Book title
Plant Metabolism
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-661-0_5
Pubmed ID
Book ISBNs
978-1-62703-660-3, 978-1-62703-661-0
Authors

Sakiko Okumoto, Okumoto, Sakiko

Abstract

Cellular metabolites and ions can exhibit very specific spatiotemporal dynamics that are very challenging to monitor using extraction-based methods. Genetically encoded Föster resonance energy transfer sensors afford a powerful method of measuring these dynamics in situ and hence are now widely used in order to decode information communicated through the dynamics of cellular metabolites and ions. This methodology involves (1) the development of a suitable sensor, (2) genetic engineering of the sensor for its expression in the tissue of interest, and (3) measurement and characterization of the cellular metabolites and ions using optical imaging. This chapter describes the measurement aspects. We describe the imaging setup, sample preparation from leaf discs and root cells, performance of a perfusion experiment, and quantification of metabolite and ion concentrations from the imaging data. We also describe post-experiment analysis including estimation of sensor efficiency and spectral bleedthrough.

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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 > Associate Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2014.
All research outputs
#17,703,558
of 22,731,677 outputs
Outputs from Methods in molecular biology
#7,171
of 13,086 outputs
Outputs of similar age
#220,742
of 305,164 outputs
Outputs of similar age from Methods in molecular biology
#261
of 594 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,086 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 305,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 594 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 50% of its contemporaries.