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Improving the ‘tool box’ for robust industrial enzymes

Overview of attention for article published in Journal of Industrial Microbiology & Biotechnology, May 2017
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Title
Improving the ‘tool box’ for robust industrial enzymes
Published in
Journal of Industrial Microbiology & Biotechnology, May 2017
DOI 10.1007/s10295-017-1920-5
Pubmed ID
Authors

J A Littlechild

Abstract

The speed of sequencing of microbial genomes and metagenomes is providing an ever increasing resource for the identification of new robust biocatalysts with industrial applications for many different aspects of industrial biotechnology. Using 'natures catalysts' provides a sustainable approach to chemical synthesis of fine chemicals, general chemicals such as surfactants and new consumer-based materials such as biodegradable plastics. This provides a sustainable and 'green chemistry' route to chemical synthesis which generates no toxic waste and is environmentally friendly. In addition, enzymes can play important roles in other applications such as carbon dioxide capture, breakdown of food and other waste streams to provide a route to the concept of a 'circular economy' where nothing is wasted. The use of improved bioinformatic approaches and the development of new rapid enzyme activity screening methodology can provide an endless resource for new robust industrial biocatalysts.This mini-review will discuss several recent case studies where industrial enzymes of 'high priority' have been identified and characterised. It will highlight specific hydrolase enzymes and recent case studies which have been carried out within our group in Exeter.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Ph. D. Student 16 16%
Student > Master 13 13%
Student > Bachelor 6 6%
Professor 6 6%
Other 11 11%
Unknown 29 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 18%
Agricultural and Biological Sciences 14 14%
Engineering 9 9%
Chemistry 6 6%
Business, Management and Accounting 5 5%
Other 14 14%
Unknown 34 34%
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 26 July 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,297
of 1,612 outputs
Outputs of similar age
#206,650
of 324,557 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#12
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 15th percentile – i.e., 15% 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 324,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.