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Cofactor Engineering for Enhancing the Flux of Metabolic Pathways

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, August 2014
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2 X users
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2 Facebook pages

Citations

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33 Dimensions

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112 Mendeley
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Title
Cofactor Engineering for Enhancing the Flux of Metabolic Pathways
Published in
Frontiers in Bioengineering and Biotechnology, August 2014
DOI 10.3389/fbioe.2014.00030
Pubmed ID
Authors

M. Kalim Akhtar, Patrik R. Jones

Abstract

The manufacture of a diverse array of chemicals is now possible with biologically engineered strains, an approach that is greatly facilitated by the emergence of synthetic biology. This is principally achieved through pathway engineering in which enzyme activities are coordinated within a genetically amenable host to generate the product of interest. A great deal of attention is typically given to the quantitative levels of the enzymes with little regard to their overall qualitative states. This highly constrained approach fails to consider other factors that may be necessary for enzyme functionality. In particular, enzymes with physically bound cofactors, otherwise known as holoenzymes, require careful evaluation. Herein, we discuss the importance of cofactors for biocatalytic processes and show with empirical examples why the synthesis and integration of cofactors for the formation of holoenzymes warrant a great deal of attention within the context of pathway engineering.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Finland 1 <1%
China 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Student > Master 18 16%
Researcher 17 15%
Student > Bachelor 8 7%
Other 7 6%
Other 10 9%
Unknown 25 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 29%
Agricultural and Biological Sciences 32 29%
Engineering 7 6%
Chemistry 6 5%
Chemical Engineering 4 4%
Other 4 4%
Unknown 26 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 September 2014.
All research outputs
#17,157,370
of 25,992,468 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,640
of 8,669 outputs
Outputs of similar age
#143,083
of 249,027 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#11
of 18 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,669 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 63% 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 249,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.