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Identification of “Known Unknowns” Utilizing Accurate Mass Data and ChemSpider

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, November 2011
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
13 Wikipedia pages

Citations

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145 Dimensions

Readers on

mendeley
150 Mendeley
Title
Identification of “Known Unknowns” Utilizing Accurate Mass Data and ChemSpider
Published in
Journal of the American Society for Mass Spectrometry, November 2011
DOI 10.1007/s13361-011-0265-y
Pubmed ID
Authors

James L. Little, Antony J. Williams, Alexey Pshenichnov, Valery Tkachenko

Abstract

In many cases, an unknown to an investigator is actually known in the chemical literature, a reference database, or an internet resource. We refer to these types of compounds as "known unknowns." ChemSpider is a very valuable internet database of known compounds useful in the identification of these types of compounds in commercial, environmental, forensic, and natural product samples. The database contains over 26 million entries from hundreds of data sources and is provided as a free resource to the community. Accurate mass mass spectrometry data is used to query the database by either elemental composition or a monoisotopic mass. Searching by elemental composition is the preferred approach. However, it is often difficult to determine a unique elemental composition for compounds with molecular weights greater than 600 Da. In these cases, searching by the monoisotopic mass is advantageous. In either case, the search results are refined by sorting the number of references associated with each compound in descending order. This raises the most useful candidates to the top of the list for further evaluation. These approaches were shown to be successful in identifying "known unknowns" noted in our laboratory and for compounds of interest to others.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Belgium 1 <1%
Russia 1 <1%
United States 1 <1%
Other 0 0%
Unknown 141 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 27%
Student > Ph. D. Student 34 23%
Student > Master 23 15%
Professor 10 7%
Other 9 6%
Other 17 11%
Unknown 16 11%
Readers by discipline Count As %
Chemistry 44 29%
Agricultural and Biological Sciences 25 17%
Biochemistry, Genetics and Molecular Biology 13 9%
Environmental Science 11 7%
Pharmacology, Toxicology and Pharmaceutical Science 11 7%
Other 13 9%
Unknown 33 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 December 2023.
All research outputs
#3,139,045
of 25,374,917 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#169
of 3,835 outputs
Outputs of similar age
#16,825
of 153,754 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#7
of 169 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 153,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 169 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.