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Exploiting volatile isoprenoids for biotechnology

Overview of attention for article published in Plant, Cell & Environment, May 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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2 X users
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1 patent

Citations

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110 Dimensions

Readers on

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266 Mendeley
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1 CiteULike
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Title
Exploiting volatile isoprenoids for biotechnology
Published in
Plant, Cell & Environment, May 2014
DOI 10.1111/pce.12316
Pubmed ID
Authors

CLAUDIA E. VICKERS, MAREIKE BONGERS, QING LIU, THIERRY DELATTE, HARRO BOUWMEESTER

Abstract

The chemical properties and diversity of volatile isoprenoids lends them to a broad variety of biological roles. It also lends them to a host of biotechnological applications, both by taking advantage of their natural functions and by using them as industrial chemicals/chemical feedstocks. Natural functions include roles as insect attractants and repellents, abiotic stress protectants in pathogen defense, etc. Industrial applications include use as pharmaceuticals, flavours, fragrances, fuels, fuel additives, etc. Here we will examine the ways in which researchers have so far found to exploit volatile isoprenoids using biotechnology. Production and/or modification of volatiles using metabolic engineering in both plants and microorganisms are reviewed, including engineering through both mevalonate and methylerythritol diphosphate pathways. Recent advances are illustrated using several case studies (herbivores and bodyguards, isoprene, and monoterpene production in microbes). Systems and synthetic biology tools with particular utility for metabolic engineering are also reviewed. Finally, we discuss the practical realities of various applications in modern biotechnology, explore possible future applications, and examine the challenges of moving these technologies forward so that they can deliver tangible benefits. While this review focuses on volatile isoprenoids, many of the engineering approaches described here are also applicable to non-isoprenoid volatiles and to non-volatile isoprenoids.

X Demographics

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 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
India 1 <1%
Netherlands 1 <1%
Singapore 1 <1%
Argentina 1 <1%
Spain 1 <1%
Japan 1 <1%
Serbia 1 <1%
Unknown 257 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 23%
Researcher 42 16%
Student > Master 37 14%
Student > Bachelor 27 10%
Student > Doctoral Student 17 6%
Other 39 15%
Unknown 42 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 118 44%
Biochemistry, Genetics and Molecular Biology 51 19%
Chemistry 13 5%
Engineering 8 3%
Environmental Science 7 3%
Other 21 8%
Unknown 48 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 May 2022.
All research outputs
#7,046,566
of 25,371,288 outputs
Outputs from Plant, Cell & Environment
#964
of 3,085 outputs
Outputs of similar age
#63,244
of 241,900 outputs
Outputs of similar age from Plant, Cell & Environment
#7
of 64 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,085 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 68% 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 241,900 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 73% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.