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NMR evaluation of total statin content and HMG-CoA reductase inhibition in red yeast rice (Monascus spp.) food supplements

Overview of attention for article published in Chinese Medicine, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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4 X users
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1 Google+ user

Citations

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33 Dimensions

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80 Mendeley
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Title
NMR evaluation of total statin content and HMG-CoA reductase inhibition in red yeast rice (Monascus spp.) food supplements
Published in
Chinese Medicine, March 2012
DOI 10.1186/1749-8546-7-8
Pubmed ID
Authors

Dirk W Lachenmeier, Yulia B Monakhova, Thomas Kuballa, Sigrid Löbell-Behrends, Sibylle Maixner, Matthias Kohl-Himmelseher, Asja Waldner, Christian Steffen

Abstract

Red yeast rice (i.e., rice fermented with Monascus spp.), as a food supplement, is claimed to be blood cholesterol-lowering. The red yeast rice constituent monacolin K, also known as lovastatin, is an inhibitor of the hydroxymethylglutaryl-CoA (HMG-CoA) reductase. This article aims to develop a sensitive nuclear magnetic resonance (NMR) method to determine the total statin content of red yeast rice products.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Germany 1 1%
Australia 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 20%
Student > Master 10 13%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 4 5%
Professor 4 5%
Other 11 14%
Unknown 29 36%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Agricultural and Biological Sciences 14 18%
Chemistry 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 5 6%
Unknown 30 38%
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 18 December 2014.
All research outputs
#7,714,565
of 25,374,917 outputs
Outputs from Chinese Medicine
#146
of 660 outputs
Outputs of similar age
#50,602
of 172,653 outputs
Outputs of similar age from Chinese Medicine
#1
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 172,653 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 70% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.