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Electron Capture Dissociation Mass Spectrometry in Characterization of Peptides and Proteins

Overview of attention for article published in Biotechnology Techniques, June 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 patent
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1 Wikipedia page

Readers on

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69 Mendeley
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Title
Electron Capture Dissociation Mass Spectrometry in Characterization of Peptides and Proteins
Published in
Biotechnology Techniques, June 2006
DOI 10.1007/s10529-006-9065-z
Pubmed ID
Authors

Ray Bakhtiar, Ziqiang Guan

Abstract

Electron capture dissociation (ECD) represents one of the most recent and significant advancements in tandem mass spectrometry (MS/MS) for the identification and characterization of polypeptides. In comparison with the conventional fragmentation techniques, such as collisionally activated dissociation (CAD), ECD provides more extensive sequence fragments, while allowing the labile modifications to remain intact during backbone fragmentation--an important attribute for characterizing post-translational modifications. Herein, we present a brief overview of the ECD technique as well as selected applications in characterization of peptides and proteins. Case studies including characterization and localization of amino acid glycosylation, methionine oxidation, acylation, and "top-down" protein mass spectrometry using ECD will be presented. A recent technique, coined as electron transfer dissociation (ETD), will be also discussed briefly.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
France 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 32%
Researcher 15 22%
Student > Bachelor 6 9%
Professor > Associate Professor 4 6%
Student > Master 4 6%
Other 7 10%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 26%
Chemistry 17 25%
Biochemistry, Genetics and Molecular Biology 12 17%
Physics and Astronomy 5 7%
Medicine and Dentistry 2 3%
Other 4 6%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 December 2023.
All research outputs
#5,452,627
of 25,394,764 outputs
Outputs from Biotechnology Techniques
#265
of 2,763 outputs
Outputs of similar age
#15,491
of 88,065 outputs
Outputs of similar age from Biotechnology Techniques
#7
of 46 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,763 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 88,065 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 71% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.