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CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, July 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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2 X users
wikipedia
1 Wikipedia page

Citations

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34 Dimensions

Readers on

mendeley
56 Mendeley
Title
CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra
Published in
Journal of the American Society for Mass Spectrometry, July 2015
DOI 10.1007/s13361-015-1211-1
Pubmed ID
Authors

Jiří Novák, Karel Lemr, Kevin A. Schug, Vladimír Havlíček

Abstract

Nonribosomal peptides have a wide range of biological and medical applications. Their identification by tandem mass spectrometry remains a challenging task. A new open-source de novo peptide identification engine CycloBranch was developed and successfully applied in identification or detailed characterization of 11 linear, cyclic, branched, and branch-cyclic peptides. CycloBranch is based on annotated building block databases the size of which is defined by the user according to ribosomal or nonribosomal peptide origin. The current number of involved nonisobaric and isobaric building blocks is 287 and 521, respectively. Contrary to all other peptide sequencing tools utilizing either peptide libraries or peptide fragment libraries, CycloBranch represents a true de novo sequencing engine developed for accurate mass spectrometric data. It is a stand-alone and cross-platform application with a graphical and user-friendly interface; it supports mzML, mzXML, mgf, txt, and baf file formats and can be run in parallel on multiple threads. It can be downloaded for free from http://ms.biomed.cas.cz/cyclobranch/ , where the User's manual and video tutorials can be found. Graphical Abstract ᅟ.

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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 27%
Student > Ph. D. Student 12 21%
Student > Master 7 13%
Student > Bachelor 2 4%
Professor 2 4%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 29%
Biochemistry, Genetics and Molecular Biology 9 16%
Chemistry 9 16%
Immunology and Microbiology 2 4%
Computer Science 2 4%
Other 4 7%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 September 2015.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#1,015
of 3,835 outputs
Outputs of similar age
#79,576
of 275,682 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#10
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 72% 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 275,682 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 70% of its contemporaries.
We're also able to compare this research output to 37 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 72% of its contemporaries.