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Lipids in Plant and Algae Development

Overview of attention for book
Cover of 'Lipids in Plant and Algae Development'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Lipids in Plant and Algae Development
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    Chapter 2 Roles of Lipids in Photosynthesis.
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    Chapter 3 DGDG and Glycolipids in Plants and Algae.
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    Chapter 4 Thylakoid Development and Galactolipid Synthesis in Cyanobacteria.
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    Chapter 5 Role of Lipids in Chloroplast Biogenesis.
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    Chapter 6 Lipids in Plant and Algae Development
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    Chapter 7 Chemical Genetics in Dissecting Membrane Glycerolipid Functions.
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    Chapter 8 Lipids in Plant and Algae Development
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    Chapter 9 Cellular Organization of Triacylglycerol Biosynthesis in Microalgae.
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    Chapter 10 High-Throughput Genetics Strategies for Identifying New Components of Lipid Metabolism in the Green Alga Chlamydomonas reinhardtii.
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    Chapter 11 Plant Sphingolipid Metabolism and Function.
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    Chapter 12 Plant Surface Lipids and Epidermis Development.
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    Chapter 13 Lipids in Plant and Algae Development
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    Chapter 14 Lipids in Plant and Algae Development
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    Chapter 15 Acyl-CoA-Binding Proteins (ACBPs) in Plant Development.
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    Chapter 16 Lipids in Plant and Algae Development
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    Chapter 17 Lipids in Plant and Algae Development
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    Chapter 18 Lipids in Plant and Algae Development
  20. Altmetric Badge
    Chapter 19 Lipids in Plant and Algae Development
  21. Altmetric Badge
    Chapter 20 Understanding Sugar Catabolism in Unicellular Cyanobacteria Toward the Application in Biofuel and Biomaterial Production.
Attention for Chapter 18: Lipids in Plant and Algae Development
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Chapter title
Lipids in Plant and Algae Development
Chapter number 18
Book title
Lipids in Plant and Algae Development
Published in
Sub cellular biochemistry, March 2016
DOI 10.1007/978-3-319-25979-6_18
Pubmed ID
Book ISBNs
978-3-31-925977-2, 978-3-31-925979-6
Authors

Aucoin, Hanna R, Gardner, Joseph, Boyle, Nanette R, Hanna R. Aucoin, Joseph Gardner, Nanette R. Boyle

Editors

Yuki Nakamura, Yonghua Li-Beisson

Abstract

In response to demands for sustainable domestic fuel sources, research into biofuels has become increasingly important. Many challenges face biofuels in their effort to replace petroleum fuels, but rational strain engineering of algae and photosynthetic organisms offers a great deal of promise. For decades, mutations and stress responses in photosynthetic microbiota were seen to result in production of exciting high-energy fuel molecules, giving hope but minor capability for design. However, '-omics' techniques for visualizing entire cell processing has clarified biosynthesis and regulatory networks. Investigation into the promising production behaviors of the model organism C. reinhardtii and its mutants with these powerful techniques has improved predictability and understanding of the diverse, complex interactions within photosynthetic organisms. This new equipment has created an exciting new frontier for high-throughput, predictable engineering of photosynthetically produced carbon-neutral biofuels.

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X Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 20%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Librarian 1 7%
Professor 1 7%
Other 3 20%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Agricultural and Biological Sciences 3 20%
Business, Management and Accounting 1 7%
Unspecified 1 7%
Physics and Astronomy 1 7%
Other 1 7%
Unknown 3 20%
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 30 March 2016.
All research outputs
#17,795,140
of 22,858,915 outputs
Outputs from Sub cellular biochemistry
#233
of 362 outputs
Outputs of similar age
#206,087
of 300,631 outputs
Outputs of similar age from Sub cellular biochemistry
#4
of 5 outputs
Altmetric has tracked 22,858,915 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 362 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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