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Synthetic Biology – Metabolic Engineering

Overview of attention for book
Attention for Chapter 13: Synthetic Biology for Cell-Free Biosynthesis: Fundamentals of Designing Novel In Vitro Multi-Enzyme Reaction Networks
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 221)
  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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7 X users

Citations

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36 Mendeley
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Chapter title
Synthetic Biology for Cell-Free Biosynthesis: Fundamentals of Designing Novel In Vitro Multi-Enzyme Reaction Networks
Chapter number 13
Book title
Synthetic Biology – Metabolic Engineering
Published in
Advances in biochemical engineering biotechnology, October 2016
DOI 10.1007/10_2016_13
Pubmed ID
Book ISBNs
978-3-31-955317-7, 978-3-31-955318-4
Authors

Morgado, Gaspar, Gerngross, Daniel, Roberts, Tania M, Panke, Sven, Gaspar Morgado, Daniel Gerngross, Tania M. Roberts, Sven Panke

Abstract

Cell-free biosynthesis in the form of in vitro multi-enzyme reaction networks or enzyme cascade reactions emerges as a promising tool to carry out complex catalysis in one-step, one-vessel settings. It combines the advantages of well-established in vitro biocatalysis with the power of multi-step in vivo pathways. Such cascades have been successfully applied to the synthesis of fine and bulk chemicals, monomers and complex polymers of chemical importance, and energy molecules from renewable resources as well as electricity. The scale of these initial attempts remains small, suggesting that more robust control of such systems and more efficient optimization are currently major bottlenecks. To this end, the very nature of enzyme cascade reactions as multi-membered systems requires novel approaches for implementation and optimization, some of which can be obtained from in vivo disciplines (such as pathway refactoring and DNA assembly), and some of which can be built on the unique, cell-free properties of cascade reactions (such as easy analytical access to all system intermediates to facilitate modeling).

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 36%
Researcher 6 17%
Student > Bachelor 2 6%
Other 1 3%
Student > Master 1 3%
Other 1 3%
Unknown 12 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 25%
Agricultural and Biological Sciences 8 22%
Chemistry 3 8%
Chemical Engineering 1 3%
Immunology and Microbiology 1 3%
Other 3 8%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 April 2018.
All research outputs
#7,585,871
of 24,397,980 outputs
Outputs from Advances in biochemical engineering biotechnology
#48
of 221 outputs
Outputs of similar age
#108,694
of 320,882 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#3
of 5 outputs
Altmetric has tracked 24,397,980 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 221 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 77% 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 320,882 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.