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A Calibration Routine for Efficient ETD in Large-Scale Proteomics

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, June 2015
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Title
A Calibration Routine for Efficient ETD in Large-Scale Proteomics
Published in
Journal of the American Society for Mass Spectrometry, June 2015
DOI 10.1007/s13361-015-1183-1
Pubmed ID
Authors

Christopher M. Rose, Matthew J. P. Rush, Nicholas M. Riley, Anna E. Merrill, Nicholas W. Kwiecien, Dustin D. Holden, Christopher Mullen, Michael S. Westphall, Joshua J. Coon

Abstract

Electron transfer dissociation (ETD) has been broadly adopted and is now available on a variety of commercial mass spectrometers. Unlike collisional activation techniques, optimal performance of ETD requires considerable user knowledge and input. ETD reaction duration is one key parameter that can greatly influence spectral quality and overall experiment outcome. We describe a calibration routine that determines the correct number of reagent anions necessary to reach a defined ETD reaction rate. Implementation of this automated calibration routine on two hybrid Orbitrap platforms illustrate considerable advantages, namely, increased product ion yield with concomitant reduction in scan rates netting up to 75% more unique peptide identifications in a shotgun experiment. Graphical Abstract ᅟ.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 33%
Researcher 8 19%
Student > Doctoral Student 6 14%
Unspecified 2 5%
Other 2 5%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Chemistry 19 44%
Agricultural and Biological Sciences 7 16%
Biochemistry, Genetics and Molecular Biology 5 12%
Unspecified 2 5%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#3,428
of 3,833 outputs
Outputs of similar age
#236,905
of 278,169 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#31
of 33 outputs
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