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A guide to small-molecule structure assignment through computation of (1H and 13C) NMR chemical shifts

Overview of attention for article published in Nature Protocols, February 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
6 news outlets
blogs
4 blogs
twitter
13 X users
patent
1 patent

Citations

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325 Dimensions

Readers on

mendeley
318 Mendeley
citeulike
1 CiteULike
Title
A guide to small-molecule structure assignment through computation of (1H and 13C) NMR chemical shifts
Published in
Nature Protocols, February 2014
DOI 10.1038/nprot.2014.042
Pubmed ID
Authors

Patrick H Willoughby, Matthew J Jansma, Thomas R Hoye

Abstract

This protocol is intended to provide chemists who discover or make new organic compounds with a valuable tool for validating the structural assignments of those new chemical entities. Experimental ¹H and/or ¹³C NMR spectral data and its proper interpretation for the compound of interest is required as a starting point. The approach involves the following steps: (i) using molecular mechanics calculations (with, e.g., MacroModel) to generate a library of conformers; (ii) using density functional theory (DFT) calculations (with, e.g., Gaussian 09) to determine optimal geometry, free energies and chemical shifts for each conformer; (iii) determining Boltzmann-weighted proton and carbon chemical shifts; and (iv) comparing the computed chemical shifts for two or more candidate structures with experimental data to determine the best fit. For a typical structure assignment of a small organic molecule (e.g., fewer than ∼10 non-H atoms or up to ∼180 a.m.u. and ∼20 conformers), this protocol can be completed in ∼2 h of active effort over a 2-d period; for more complex molecules (e.g., fewer than ∼30 non-H atoms or up to ∼500 a.m.u. and ∼50 conformers), the protocol requires ∼3-6 h of active effort over a 2-week period. To demonstrate the method, we have chosen the analysis of the cis- versus the trans-diastereoisomers of 3-methylcyclohexanol (1-cis versus 1-trans). The protocol is written in a manner that makes the computation of chemical shifts tractable for chemists who may otherwise have only rudimentary computational experience.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 2 <1%
Italy 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Australia 1 <1%
Unknown 308 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 28%
Researcher 48 15%
Student > Master 30 9%
Student > Doctoral Student 22 7%
Other 17 5%
Other 57 18%
Unknown 54 17%
Readers by discipline Count As %
Chemistry 178 56%
Biochemistry, Genetics and Molecular Biology 17 5%
Agricultural and Biological Sciences 16 5%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Engineering 7 2%
Other 23 7%
Unknown 69 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 16 February 2021.
All research outputs
#496,216
of 24,137,435 outputs
Outputs from Nature Protocols
#91
of 2,817 outputs
Outputs of similar age
#4,676
of 228,956 outputs
Outputs of similar age from Nature Protocols
#2
of 54 outputs
Altmetric has tracked 24,137,435 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,817 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has done particularly well, scoring higher than 96% 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 228,956 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 97% of its contemporaries.
We're also able to compare this research output to 54 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 98% of its contemporaries.