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Biopolyesters

Overview of attention for book
Attention for Chapter 1: Polyesters in higher plants.
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1 Wikipedia page

Citations

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223 Mendeley
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Chapter title
Polyesters in higher plants.
Chapter number 1
Book title
Biopolyesters
Published in
Advances in biochemical engineering biotechnology, January 2001
DOI 10.1007/3-540-40021-4_1
Pubmed ID
Book ISBNs
978-3-54-041141-3, 978-3-54-040021-9
Authors

Pappachan E. Kolattukudy, Kolattukudy, Pappachan E.

Abstract

Polyesters occur in higher plants as the structural component of the cuticle that covers the aerial parts of plants. This insoluble polymer, called cutin, attached to the epidermal cell walls is composed of interesterified hydroxy and hydroxy epoxy fatty acids. The most common chief monomers are 10,16-dihydroxy C16 acid, 18-hydroxy-9,10 epoxy C18 acid, and 9,10,18-trihydroxy C18 acid. These monomers are produced in the epidermal cells by omega hydroxylation, in-chain hydroxylation, epoxidation catalyzed by P450-type mixed function oxidase, and epoxide hydration. The monomer acyl groups are transferred to hydroxyl groups in the growing polymer at the extracellular location. The other type of polyester found in the plants is suberin, a polymeric material deposited in the cell walls of a layer or two of cells when a plant needs to erect a barrier as a result of physical or biological stress from the environment, or during development. Suberin is composed of aromatic domains derived from cinnamic acid, and aliphatic polyester domains derived from C16 and C18 cellular fatty acids and their elongation products. The polyesters can be hydrolyzed by pancreatic lipase and cutinase, a polyesterase produced by bacteria and fungi. Catalysis by cutinase involves the active serine catalytic triad. The major function of the polyester in plants is as a protective barrier against physical, chemical, and biological factors in the environment, including pathogens. Transcriptional regulation of cutinase gene in fungal pathogens is being elucidated at a molecular level. The polyesters present in agricultural waste may be used to produce high value polymers, and genetic engineering might be used to produce large quantities of such polymers in plants.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 3 1%
Hungary 1 <1%
France 1 <1%
Uruguay 1 <1%
Sweden 1 <1%
Chile 1 <1%
Canada 1 <1%
India 1 <1%
Other 2 <1%
Unknown 207 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 26%
Researcher 32 14%
Student > Master 29 13%
Student > Bachelor 27 12%
Student > Doctoral Student 8 4%
Other 23 10%
Unknown 46 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 38%
Biochemistry, Genetics and Molecular Biology 25 11%
Chemistry 22 10%
Engineering 11 5%
Environmental Science 7 3%
Other 22 10%
Unknown 52 23%
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 16 December 2012.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from Advances in biochemical engineering biotechnology
#55
of 226 outputs
Outputs of similar age
#26,635
of 114,881 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#4
of 9 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 226 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 59% 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 114,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.