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GC-MS/MS survey of collision-induced dissociation of tert-butyldimethylsilyl-derivatized amino acids and its application to 13C-metabolic flux analysis of Escherichia coli central metabolism

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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5 tweeters

Citations

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7 Dimensions

Readers on

mendeley
24 Mendeley
Title
GC-MS/MS survey of collision-induced dissociation of tert-butyldimethylsilyl-derivatized amino acids and its application to 13C-metabolic flux analysis of Escherichia coli central metabolism
Published in
Analytical & Bioanalytical Chemistry, June 2016
DOI 10.1007/s00216-016-9724-4
Pubmed ID
Authors

Nobuyuki Okahashi, Shuichi Kawana, Junko Iida, Hiroshi Shimizu, Fumio Matsuda

Abstract

Stable isotope labeling experiments using mass spectrometry have been employed to investigate carbon flow levels (metabolic flux) in mammalian, plant, and microbial cells. To achieve a more precise (13)C-metabolic flux analysis ((13)C-MFA), novel fragmentations of tert-butyldimethylsilyl (TBDMS)-amino acids were investigated by gas chromatography-tandem mass spectrometry (GC-MS/MS). The product ion scan analyses of 15 TBDMS-amino acids revealed 24 novel fragment ions. The amino acid-derived carbons included in the five fragment ions were identified by the analyses of (13)C-labeled authentic standards. The identification of the fragment ion at m/z 170 indicated that the isotopic abundance of S-methyl carbon in methionine could be determined from the cleavage of C5 in the precursor of [M-159](+) (m/z 218). It was also confirmed that the precision of (13)C-MFA in Escherichia coli central carbon metabolism could be improved by introducing (13)C-labeling data derived from novel fragmentations. Graphical Abstract Novel collision-induced dissociation fragmentations of tert-butyldimethylsilyl amino acids were investigated and identified by GC-MS/MS.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 7 29%
Professor 2 8%
Student > Master 2 8%
Student > Doctoral Student 2 8%
Other 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Unspecified 4 17%
Medicine and Dentistry 3 13%
Engineering 3 13%
Chemical Engineering 3 13%
Other 5 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2016.
All research outputs
#6,473,219
of 12,230,555 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,925
of 4,657 outputs
Outputs of similar age
#93,891
of 236,197 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#26
of 199 outputs
Altmetric has tracked 12,230,555 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,657 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 59% 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 236,197 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 59% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.