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Novel technologies combined with traditional metabolic engineering strategies facilitate the construction of shikimate-producing Escherichia coli

Overview of attention for article published in Microbial Cell Factories, September 2017
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Title
Novel technologies combined with traditional metabolic engineering strategies facilitate the construction of shikimate-producing Escherichia coli
Published in
Microbial Cell Factories, September 2017
DOI 10.1186/s12934-017-0773-y
Pubmed ID
Authors

Pengfei Gu, Xiangyu Fan, Quanfeng Liang, Qingsheng Qi, Qiang Li

Abstract

Shikimate is an important intermediate in the aromatic amino acid pathway, which can be used as a promising building block for the synthesis of biological compounds, such as neuraminidase inhibitor Oseltamivir (Tamiflu(®)). Compared with traditional methods, microbial production of shikimate has the advantages of environmental friendliness, low cost, feed stock renewability, and product selectivity and diversity, thus receiving more and more attentions. The development of metabolic engineering allows for high-efficiency production of shikimate of Escherichia coli by improving the intracellular level of precursors, blocking downstream pathway, releasing negative regulation factors, and overexpressing rate-limiting enzymes. In addition, novel technologies derived from systems and synthetic biology have opened a new avenue towards construction of shikimate-producing strains. This review summarized successful and applicable strategies derived from traditional metabolic engineering and novel technologies for increasing accumulation of shikimate in E. coli.

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 8 18%
Researcher 6 14%
Other 2 5%
Student > Bachelor 2 5%
Other 2 5%
Unknown 15 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 27%
Agricultural and Biological Sciences 8 18%
Engineering 3 7%
Chemical Engineering 2 5%
Chemistry 1 2%
Other 1 2%
Unknown 17 39%
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 17 May 2018.
All research outputs
#17,916,739
of 23,003,906 outputs
Outputs from Microbial Cell Factories
#1,136
of 1,612 outputs
Outputs of similar age
#229,856
of 321,103 outputs
Outputs of similar age from Microbial Cell Factories
#16
of 33 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 24th percentile – i.e., 24% 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 321,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.