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Gel-Free Proteomics

Overview of attention for book
Cover of 'Gel-Free Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Mass Spectrometry-Driven Proteomics: An Introduction
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    Chapter 2 Metabolic Labeling of Model Organisms Using Heavy Nitrogen ( 15 N)
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    Chapter 3 Trypsin-Catalyzed Oxygen-18 Labeling for Quantitative Proteomics
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    Chapter 4 ICPL Labeling Strategies for Proteome Research
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    Chapter 5 Quantitative Proteome Analysis Using Isobaric Peptide Termini Labeling (IPTL)
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    Chapter 6 Complete Chemical Modification of Amine and Acid Functional Groups of Peptides and Small Proteins
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    Chapter 7 Production and Use of Stable Isotope-Labeled Proteins for Absolute Quantitative Proteomics
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    Chapter 8 Organelle Proteomics
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    Chapter 9 Membrane Protein Digestion – Comparison of LPI HexaLane with Traditional Techniques
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    Chapter 10 GeLCMS for In-Depth Protein Characterization and Advanced Analysis of Proteomes
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    Chapter 11 Exploring New Proteome Space: Combining Lys-N Proteolytic Digestion and Strong Cation Exchange (SCX) Separation in Peptide-Centric MS-Driven Proteomics
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    Chapter 12 Quantitation of Newly Synthesized Proteins by Pulse Labeling with Azidohomoalanine
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    Chapter 13 Analytical Strategies in Mass Spectrometry-Based Phosphoproteomics
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    Chapter 14 A Protocol on the Use of Titanium Dioxide Chromatography for Phosphoproteomics
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    Chapter 15 Gel-Free Proteomics
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    Chapter 16 N-terminomics: a high-content screen for protease substrates and their cleavage sites.
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    Chapter 17 Protease Specificity Profiling by Tandem Mass Spectrometry Using Proteome-Derived Peptide Libraries
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    Chapter 18 Identification of Proteolytic Products and Natural Protein N-Termini by Terminal Amine Isotopic Labeling of Substrates (TAILS)
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    Chapter 19 Lectins as Tools to Select for Glycosylated Proteins
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    Chapter 20 Strong Cation Exchange Chromatography for Analysis of Sialylated Glycopeptides
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    Chapter 21 Titanium Dioxide Enrichment of Sialic Acid-Containing Glycopeptides
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    Chapter 22 Chemical De-O-glycosylation of Glycoproteins for Applications in LC-Based Proteomics
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    Chapter 23 Ubiquitination and Degradation of Proteins
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    Chapter 24 Bioinformatics Challenges in Mass Spectrometry-Driven Proteomics
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    Chapter 25 A Case Study on the Comparison of Different Software Tools for Automated Quantification of Peptides
Attention for Chapter 18: Identification of Proteolytic Products and Natural Protein N-Termini by Terminal Amine Isotopic Labeling of Substrates (TAILS)
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Chapter title
Identification of Proteolytic Products and Natural Protein N-Termini by Terminal Amine Isotopic Labeling of Substrates (TAILS)
Chapter number 18
Book title
Gel-Free Proteomics
Published in
Methods in molecular biology, May 2011
DOI 10.1007/978-1-61779-148-2_18
Pubmed ID
Book ISBNs
978-1-61779-147-5, 978-1-61779-148-2
Authors

Doucet, Alain, Kleifeld, Oded, Kizhakkedathu, Jayachandran N., Overall, Christopher M., Alain Doucet, Oded Kleifeld, Jayachandran N. Kizhakkedathu, Christopher M. Overall

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Germany 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 9 18%
Student > Master 6 12%
Student > Doctoral Student 4 8%
Student > Bachelor 2 4%
Other 9 18%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 26%
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Neuroscience 2 4%
Other 6 12%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 April 2017.
All research outputs
#13,546,553
of 22,962,258 outputs
Outputs from Methods in molecular biology
#3,648
of 13,136 outputs
Outputs of similar age
#79,067
of 110,317 outputs
Outputs of similar age from Methods in molecular biology
#15
of 24 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 110,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.