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Current and Future Perspectives on the Structural Identification of Small Molecules in Biological Systems

Overview of attention for article published in Metabolites, December 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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48 X users
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Citations

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Title
Current and Future Perspectives on the Structural Identification of Small Molecules in Biological Systems
Published in
Metabolites, December 2016
DOI 10.3390/metabo6040046
Pubmed ID
Authors

Daniel A. Dias, Oliver A.H. Jones, David J. Beale, Berin A. Boughton, Devin Benheim, Konstantinos A. Kouremenos, Jean-Luc Wolfender, David S. Wishart

Abstract

Although significant advances have been made in recent years, the structural elucidation of small molecules continues to remain a challenging issue for metabolite profiling. Many metabolomic studies feature unknown compounds; sometimes even in the list of features identified as "statistically significant" in the study. Such metabolic "dark matter" means that much of the potential information collected by metabolomics studies is lost. Accurate structure elucidation allows researchers to identify these compounds. This in turn, facilitates downstream metabolite pathway analysis, and a better understanding of the underlying biology of the system under investigation. This review covers a range of methods for the structural elucidation of individual compounds, including those based on gas and liquid chromatography hyphenated to mass spectrometry, single and multi-dimensional nuclear magnetic resonance spectroscopy, and high-resolution mass spectrometry and includes discussion of data standardization. Future perspectives in structure elucidation are also discussed; with a focus on the potential development of instruments and techniques, in both nuclear magnetic resonance spectroscopy and mass spectrometry that, may help solve some of the current issues that are hampering the complete identification of metabolite structure and function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Unknown 233 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 19%
Researcher 38 16%
Student > Master 28 12%
Student > Bachelor 19 8%
Student > Postgraduate 15 6%
Other 38 16%
Unknown 55 23%
Readers by discipline Count As %
Chemistry 50 21%
Agricultural and Biological Sciences 41 17%
Biochemistry, Genetics and Molecular Biology 31 13%
Pharmacology, Toxicology and Pharmaceutical Science 13 5%
Medicine and Dentistry 8 3%
Other 30 13%
Unknown 64 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 10 November 2019.
All research outputs
#1,141,220
of 23,299,593 outputs
Outputs from Metabolites
#60
of 2,722 outputs
Outputs of similar age
#25,242
of 423,215 outputs
Outputs of similar age from Metabolites
#1
of 13 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,722 research outputs from this source. They receive a mean Attention Score of 4.8. 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 423,215 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 13 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 99% of its contemporaries.