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Biocatalytic site- and enantioselective oxidative dearomatization of phenols

Overview of attention for article published in Nature Chemistry, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 2,079)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
twitter
83 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
84 Mendeley
Title
Biocatalytic site- and enantioselective oxidative dearomatization of phenols
Published in
Nature Chemistry, November 2017
DOI 10.1038/nchem.2879
Pubmed ID
Authors

Summer A. Baker Dockrey, April L. Lukowski, Marc R. Becker, Alison R. H. Narayan

Abstract

The biocatalytic transformations used by chemists are often restricted to simple functional-group interconversions. In contrast, nature has developed complexity-generating biocatalytic reactions within natural product pathways. These sophisticated catalysts are rarely employed by chemists, because the substrate scope, selectivity and robustness of these catalysts are unknown. Our strategy to bridge the gap between the biosynthesis and synthetic chemistry communities leverages the diversity of catalysts available within natural product pathways. Here we show that, starting from a suite of biosynthetic enzymes, catalysts with complementary substrate scope as well as selectivity can be identified. This strategy has been applied to the oxidative dearomatization of phenols, a chemical transformation that rapidly builds molecular complexity from simple starting materials and cannot be accomplished with high selectivity using existing catalytic methods. Using enzymes from biosynthetic pathways, we have successfully developed a method to produce ortho-quinol products with controlled site- and stereoselectivity. Furthermore, we have capitalized on the scalability and robustness of this method in gram-scale reactions as well as multi-enzyme and chemoenzymatic cascades.

Twitter Demographics

The data shown below were collected from the profiles of 83 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 37%
Researcher 15 18%
Student > Bachelor 11 13%
Student > Doctoral Student 8 10%
Unspecified 6 7%
Other 13 15%
Readers by discipline Count As %
Chemistry 57 68%
Biochemistry, Genetics and Molecular Biology 11 13%
Unspecified 10 12%
Chemical Engineering 2 2%
Agricultural and Biological Sciences 1 1%
Other 3 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 13 January 2019.
All research outputs
#86,508
of 12,369,399 outputs
Outputs from Nature Chemistry
#50
of 2,079 outputs
Outputs of similar age
#4,549
of 290,814 outputs
Outputs of similar age from Nature Chemistry
#2
of 43 outputs
Altmetric has tracked 12,369,399 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one has done particularly well, scoring higher than 97% 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 290,814 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.