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A stepwise approach for the reproducible optimization of PAMO expression in Escherichia coli for whole-cell biocatalysis

Overview of attention for article published in BMC Biotechnology, June 2012
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Title
A stepwise approach for the reproducible optimization of PAMO expression in Escherichia coli for whole-cell biocatalysis
Published in
BMC Biotechnology, June 2012
DOI 10.1186/1472-6750-12-31
Pubmed ID
Authors

Edwin van Bloois, Hanna M Dudek, Wouter A Duetz, Marco W Fraaije

Abstract

Baeyer-Villiger monooxygenases (BVMOs) represent a group of enzymes of considerable biotechnological relevance as illustrated by their growing use as biocatalyst in a variety of synthetic applications. However, due to their increased use the reproducible expression of BVMOs and other biotechnologically relevant enzymes has become a pressing matter while knowledge about the factors governing their reproducible expression is scattered.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Bachelor 7 18%
Researcher 5 13%
Unspecified 4 11%
Student > Master 3 8%
Other 5 13%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Biochemistry, Genetics and Molecular Biology 8 21%
Unspecified 4 11%
Engineering 4 11%
Chemistry 3 8%
Other 3 8%
Unknown 7 18%
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 23 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from BMC Biotechnology
#845
of 934 outputs
Outputs of similar age
#147,886
of 164,035 outputs
Outputs of similar age from BMC Biotechnology
#14
of 14 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 934 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% 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 164,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.