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Multidimensional steric parameters in the analysis of asymmetric catalytic reactions

Overview of attention for article published in Nature Chemistry, March 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
2 blogs
twitter
3 X users
patent
1 patent
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
223 Dimensions

Readers on

mendeley
293 Mendeley
citeulike
1 CiteULike
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Title
Multidimensional steric parameters in the analysis of asymmetric catalytic reactions
Published in
Nature Chemistry, March 2012
DOI 10.1038/nchem.1297
Pubmed ID
Authors

Kaid C. Harper, Elizabeth N. Bess, Matthew S. Sigman

Abstract

Although asymmetric catalysis is universally dependent on spatial interactions to impart specific chirality on a given substrate, examination of steric effects in these catalytic systems remains empirical. Previous efforts by our group and others have seen correlation between steric parameters developed by Charton and simple substituents in both substrate and ligand; however, more complex substituents were not found to be correlative. Here, we review and compare the steric parameters common in quantitative structure activity relationships (QSAR), a common method for pharmaceutical function optimization, and how they might be applied in asymmetric catalysis, as the two fields are undeniably similar. We re-evaluate steric/enantioselection relationships, which we previously analysed with Charton steric parameters, using the more sophisticated Sterimol parameters developed by Verloop and co-workers in a QSAR context. Use of these Sterimol parameters led to strong correlations in numerous processes where Charton parameters had previously failed. Sterimol parameterization also allows for greater mechanistic insight into the key elements of asymmetric induction within these systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Japan 3 1%
Sweden 1 <1%
Germany 1 <1%
Argentina 1 <1%
Unknown 284 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 31%
Researcher 42 14%
Student > Master 24 8%
Student > Bachelor 24 8%
Professor 15 5%
Other 46 16%
Unknown 50 17%
Readers by discipline Count As %
Chemistry 207 71%
Chemical Engineering 5 2%
Materials Science 5 2%
Agricultural and Biological Sciences 5 2%
Engineering 4 1%
Other 13 4%
Unknown 54 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 15 June 2023.
All research outputs
#1,668,027
of 25,079,131 outputs
Outputs from Nature Chemistry
#1,371
of 3,276 outputs
Outputs of similar age
#8,952
of 164,591 outputs
Outputs of similar age from Nature Chemistry
#18
of 57 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.7. This one has gotten more attention than average, scoring higher than 58% 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 164,591 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 94% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.