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Proteomics

Overview of attention for book
Cover of 'Proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Robust Protocol for Protein Extraction and Digestion
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    Chapter 2 Improving Proteome Coverage and Sample Recovery with Enhanced FASP (eFASP) for Quantitative Proteomic Experiments
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    Chapter 3 Proteome Characterization of a Chromatin Locus Using the Proteomics of Isolated Chromatin Segments Approach
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    Chapter 4 Profiling Cell Lines Nuclear Sub-proteome
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    Chapter 5 Optimized Enrichment of Phosphoproteomes by Fe-IMAC Column Chromatography
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    Chapter 6 Full Membrane Protein Coverage Digestion and Quantitative Bottom-Up Mass Spectrometry Proteomics
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    Chapter 7 Hydrophilic Strong Anion Exchange (hSAX) Chromatography Enables Deep Fractionation of Tissue Proteomes
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    Chapter 8 High pH Reversed-Phase Micro-Columns for Simple, Sensitive, and Efficient Fractionation of Proteome and (TMT labeled) Phosphoproteome Digests
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    Chapter 9 Multi-Lectin Affinity Chromatography for Separation, Identification, and Quantitation of Intact Protein Glycoforms in Complex Biological Mixtures
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    Chapter 10 Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry
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    Chapter 11 LUMIER: A Discovery Tool for Mammalian Protein Interaction Networks
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    Chapter 12 Dual-Color, Multiplex Analysis of Protein Microarrays for Precision Medicine
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    Chapter 13 Quantitative Proteomics Using SILAC
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    Chapter 14 Relative Protein Quantification Using Tandem Mass Tag Mass Spectrometry
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    Chapter 15 Pathway-Informed Discovery and Targeted Proteomic Workflows Using Mass Spectrometry
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    Chapter 16 Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers
  18. Altmetric Badge
    Chapter 17 Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols
  19. Altmetric Badge
    Chapter 18 Protein Micropatterning Assay: Quantitative Analysis of Protein–Protein Interactions
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    Chapter 19 Designing Successful Proteomics Experiments
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    Chapter 20 Automated SWATH Data Analysis Using Targeted Extraction of Ion Chromatograms
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    Chapter 21 Virtualization of Legacy Instrumentation Control Computers for Improved Reliability, Operational Life, and Management
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    Chapter 22 Statistical Assessment of QC Metrics on Raw LC-MS/MS Data
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    Chapter 23 Data Conversion with ProteoWizard msConvert
Attention for Chapter 23: Data Conversion with ProteoWizard msConvert
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 news outlet

Citations

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18 Dimensions

Readers on

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225 Mendeley
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Chapter title
Data Conversion with ProteoWizard msConvert
Chapter number 23
Book title
Proteomics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6747-6_23
Pubmed ID
Book ISBNs
978-1-4939-6745-2, 978-1-4939-6747-6
Authors

Ravali Adusumilli, Parag Mallick, Adusumilli, Ravali, Mallick, Parag

Editors

Lucio Comai, Jonathan E. Katz, Parag Mallick

Abstract

Recent advances in proteome informatics have led to an explosion in tools to analyze mass spectrometry data. These tools operate across the analysis pipeline doing everything from assessing quality control to matching peptides to spectra to quantification. Unfortunately, the vast majority of these tools are not able to operate directly on the proprietary formats generated by the diverse mass spectrometers. Consequently, the first step in many protocols is the conversion of data from vendor-specific binary files to open-format files. This protocol details the use of ProteoWizard's msConvert and msConvertGUI software for this conversion, taking format features, coding options, and vendor particularities into account. We specifically describe the various options available when doing conversions and the implications of each option.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 18%
Student > Master 37 16%
Researcher 35 16%
Student > Bachelor 20 9%
Student > Doctoral Student 13 6%
Other 25 11%
Unknown 55 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 26%
Chemistry 33 15%
Agricultural and Biological Sciences 26 12%
Medicine and Dentistry 8 4%
Environmental Science 8 4%
Other 25 11%
Unknown 66 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 January 2022.
All research outputs
#2,941,264
of 22,818,766 outputs
Outputs from Methods in molecular biology
#594
of 13,121 outputs
Outputs of similar age
#65,053
of 423,433 outputs
Outputs of similar age from Methods in molecular biology
#79
of 1,242 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,121 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 423,433 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1,242 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.