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Multistep tandem mass spectrometry for Sequencing Cyclic Peptides in an Ion-Trap Mass Spectrometer

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, August 1999
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Title
Multistep tandem mass spectrometry for Sequencing Cyclic Peptides in an Ion-Trap Mass Spectrometer
Published in
Journal of the American Society for Mass Spectrometry, August 1999
DOI 10.1016/s1044-0305(99)00049-5
Pubmed ID
Authors

Lambert C. M. Ngoka, Michael L. Gross

Abstract

Collisionally activated decomposition (CAD) of a protonated cyclic peptide produces a superposition spectrum consisting of fragments produced following random ring opening of the cyclic peptide to give a set of acylium ions (or isomeric equivalents) of the same m/z. Assignment of the correct sequence is often difficult owing to lack of selectivity in the ring opening. A method is presented that utilizes multiple stages of CAD experiments in an electrospray ion-trap mass spectrometer to sequence cyclic peptides. A primary acylium ion is selected from the primary product-ion spectrum and subjected to several stages of CAD. Amino-acid residues are sequentially removed, one at each stage of the CAD, from the C-terminus, until a b2 ion is reached. Results are presented for seven cyclic peptides, ranging in sizes from four to eight amino-acid residues. This method of sequencing cyclic peptides eliminates ambiguities encountered with other MS/MS approaches. The power of the strategy lies in the capability to execute several stages of CAD upon a precursor ion and its decomposition products, allowing the cyclic peptide to be sequenced in an unambiguous, stepwise manner.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
France 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 32%
Researcher 6 15%
Student > Master 4 10%
Professor 3 7%
Professor > Associate Professor 2 5%
Other 5 12%
Unknown 8 20%
Readers by discipline Count As %
Chemistry 18 44%
Agricultural and Biological Sciences 9 22%
Biochemistry, Genetics and Molecular Biology 2 5%
Immunology and Microbiology 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 9 22%
Attention Score in Context

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 19 November 2002.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#1,226
of 3,834 outputs
Outputs of similar age
#11,275
of 34,663 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#3
of 9 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,834 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 34,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.