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Metabolic engineering of Escherichia coli for high-specificity production of isoprenol and prenol as next generation of biofuels

Overview of attention for article published in Biotechnology for Biofuels, January 2013
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
patent
15 patents

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Metabolic engineering of Escherichia coli for high-specificity production of isoprenol and prenol as next generation of biofuels
Published in
Biotechnology for Biofuels, January 2013
DOI 10.1186/1754-6834-6-57
Pubmed ID
Authors

Yanning Zheng, Qiang Liu, Lingling Li, Wen Qin, Jianming Yang, Haibo Zhang, Xinglin Jiang, Tao Cheng, Wei Liu, Xin Xu, Mo Xian

Abstract

The isopentenols, including isoprenol and prenol, are excellent alternative fuels. However, they are not compounds largely accumulated in natural organism. The need for the next generation of biofuels with better physical and chemical properties impels us to develop biosynthetic routes for the production of isoprenol and prenol from renewable sugar. In this study, we use the heterogenous mevalonate-dependent (MVA) isoprenoid pathway for the synthesis of isopentenyl pyrophosphate (IPP) and dimethylallyl pyrophosphate (DMAPP) intermediates, and then convert IPP and DMAPP to isoprenol and prenol, respectively.

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Canada 1 <1%
Indonesia 1 <1%
New Zealand 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 118 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 31%
Researcher 22 18%
Student > Master 18 14%
Student > Bachelor 13 10%
Student > Doctoral Student 7 6%
Other 20 16%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 50%
Biochemistry, Genetics and Molecular Biology 25 20%
Chemistry 9 7%
Chemical Engineering 5 4%
Engineering 4 3%
Other 8 6%
Unknown 12 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 January 2020.
All research outputs
#1,446,092
of 15,390,424 outputs
Outputs from Biotechnology for Biofuels
#78
of 1,156 outputs
Outputs of similar age
#15,831
of 155,091 outputs
Outputs of similar age from Biotechnology for Biofuels
#3
of 12 outputs
Altmetric has tracked 15,390,424 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,156 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 93% 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 155,091 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.