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Bacteria engineered for fuel ethanol production: current status

Overview of attention for article published in Applied Microbiology and Biotechnology, September 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
2 X users
patent
21 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
629 Dimensions

Readers on

mendeley
742 Mendeley
Title
Bacteria engineered for fuel ethanol production: current status
Published in
Applied Microbiology and Biotechnology, September 2003
DOI 10.1007/s00253-003-1444-y
Pubmed ID
Authors

B. S. Dien, M. A. Cotta, T. W. Jeffries

Abstract

The lack of industrially suitable microorganisms for converting biomass into fuel ethanol has traditionally been cited as a major technical roadblock to developing a bioethanol industry. In the last two decades, numerous microorganisms have been engineered to selectively produce ethanol. Lignocellulosic biomass contains complex carbohydrates that necessitate utilizing microorganisms capable of fermenting sugars not fermentable by brewers' yeast. The most significant of these is xylose. The greatest successes have been in the engineering of Gram-negative bacteria: Escherichia coli, Klebsiella oxytoca, and Zymomonas mobilis. E. coli and K. oxytoca are naturally able to use a wide spectrum of sugars, and work has concentrated on engineering these strains to selectively produce ethanol. Z. mobilis produces ethanol at high yields, but ferments only glucose and fructose. Work on this organism has concentrated on introducing pathways for the fermentation of arabinose and xylose. The history of constructing these strains and current progress in refining them are detailed in this review.

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

Geographical breakdown

Country Count As %
United States 7 <1%
France 3 <1%
Belgium 3 <1%
Brazil 3 <1%
Chile 2 <1%
Netherlands 2 <1%
South Africa 2 <1%
Latvia 2 <1%
Colombia 2 <1%
Other 12 2%
Unknown 704 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 149 20%
Student > Master 129 17%
Researcher 105 14%
Student > Bachelor 101 14%
Student > Doctoral Student 31 4%
Other 118 16%
Unknown 109 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 272 37%
Biochemistry, Genetics and Molecular Biology 98 13%
Engineering 89 12%
Chemical Engineering 44 6%
Chemistry 34 5%
Other 76 10%
Unknown 129 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 21 October 2022.
All research outputs
#1,401,791
of 25,371,288 outputs
Outputs from Applied Microbiology and Biotechnology
#75
of 8,290 outputs
Outputs of similar age
#1,147
of 46,955 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#1
of 37 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,290 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 99% 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 46,955 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 97% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.