↓ Skip to main content

One-step fermentative production of aromatic polyesters from glucose by metabolically engineered Escherichia coli strains

Overview of attention for article published in Nature Communications, January 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
2 X users
patent
2 patents
googleplus
1 Google+ user

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
151 Mendeley
Title
One-step fermentative production of aromatic polyesters from glucose by metabolically engineered Escherichia coli strains
Published in
Nature Communications, January 2018
DOI 10.1038/s41467-017-02498-w
Pubmed ID
Authors

Jung Eun Yang, Si Jae Park, Won Jun Kim, Hyeong Jun Kim, Bumjoon J. Kim, Hyuk Lee, Jihoon Shin, Sang Yup Lee

Abstract

Aromatic polyesters are widely used plastics currently produced from petroleum. Here we engineer Escherichia coli strains for the production of aromatic polyesters from glucose by one-step fermentation. When the Clostridium difficile isocaprenoyl-CoA:2-hydroxyisocaproate CoA-transferase (HadA) and evolved polyhydroxyalkanoate (PHA) synthase genes are overexpressed in a D-phenyllactate-producing strain, poly(52.3 mol% 3-hydroxybutyrate (3HB)-co-47.7 mol% D-phenyllactate) can be produced from glucose and sodium 3HB. Also, various poly(3HB-co-D-phenyllactate) polymers having 11.0, 15.8, 20.0, 70.8, and 84.5 mol% of D-phenyllactate are produced from glucose as a sole carbon source by additional expression of Ralstonia eutropha β-ketothiolase (phaA) and reductase (phaB) genes. Fed-batch culture of this engineered strain produces 13.9 g l-1 of poly(61.9 mol% 3HB-co-38.1 mol% D-phenyllactate). Furthermore, different aromatic polyesters containing D-mandelate and D-3-hydroxy-3-phenylpropionate are produced from glucose when feeding the corresponding monomers. The engineered bacterial system will be useful for one-step fermentative production of aromatic polyesters from renewable resources.

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

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Researcher 28 19%
Student > Master 17 11%
Student > Bachelor 7 5%
Professor > Associate Professor 7 5%
Other 21 14%
Unknown 39 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 27%
Agricultural and Biological Sciences 26 17%
Engineering 7 5%
Chemical Engineering 7 5%
Chemistry 6 4%
Other 16 11%
Unknown 48 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 09 December 2020.
All research outputs
#696,314
of 23,015,156 outputs
Outputs from Nature Communications
#11,919
of 47,389 outputs
Outputs of similar age
#17,912
of 442,237 outputs
Outputs of similar age from Nature Communications
#345
of 1,242 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 47,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has gotten more attention than average, scoring higher than 74% 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 442,237 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 1,242 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 72% of its contemporaries.