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Proteomics for Biomarker Discovery

Overview of attention for book
Cover of 'Proteomics for Biomarker Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Pre- and Post-analytical Factors in Biomarker Discovery
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    Chapter 2 Pre-fractionation of Noncirculating Biological Fluids to Improve Discovery of Clinically Relevant Protein Biomarkers
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    Chapter 3 Serum Exosome Isolation by Size-Exclusion Chromatography for the Discovery and Validation of Preeclampsia-Associated Biomarkers
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    Chapter 4 Protein Biomarker Discovery Using Human Blood Plasma Microparticles
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    Chapter 5 A Standardized and Reproducible Proteomics Protocol for Bottom-Up Quantitative Analysis of Protein Samples Using SP3 and Mass Spectrometry
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    Chapter 6 Analyzing Cerebrospinal Fluid Proteomes to Characterize Central Nervous System Disorders: A Highly Automated Mass Spectrometry-Based Pipeline for Biomarker Discovery
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    Chapter 7 Lys-C/Trypsin Tandem-Digestion Protocol for Gel-Free Proteomic Analysis of Colon Biopsies
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    Chapter 8 Tube-Gel: A Fast and Effective Sample Preparation Method for High-Throughput Quantitative Proteomics
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    Chapter 9 Protein Biomarker Discovery in Non-depleted Serum by Spectral Library-Based Data-Independent Acquisition Mass Spectrometry
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    Chapter 10 Discovering Protein Biomarkers from Clinical Peripheral Blood Mononuclear Cells Using Data-Independent Acquisition Mass Spectrometry
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    Chapter 11 Intact Protein Analysis by LC-MS for Characterizing Biomarkers in Cerebrospinal Fluid
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    Chapter 12 Detection of Proteoforms Using Top-Down Mass Spectrometry and Diagnostic Ions
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    Chapter 13 Development of a Highly Multiplexed SRM Assay for Biomarker Discovery in Formalin-Fixed Paraffin-Embedded Tissues
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    Chapter 14 Development and Validation of Multiple Reaction Monitoring (MRM) Assays for Clinical Applications
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    Chapter 15 Protein-Level Statistical Analysis of Quantitative Label-Free Proteomics Data with ProStaR
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    Chapter 16 Computation and Selection of Optimal Biomarker Combinations by Integrative ROC Analysis Using CombiROC
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    Chapter 17 PanelomiX for the Combination of Biomarkers
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    Chapter 18 Designing an In Silico Strategy to Select Tissue-Leakage Biomarkers Using the Galaxy Framework
Attention for Chapter 5: A Standardized and Reproducible Proteomics Protocol for Bottom-Up Quantitative Analysis of Protein Samples Using SP3 and Mass Spectrometry
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Chapter title
A Standardized and Reproducible Proteomics Protocol for Bottom-Up Quantitative Analysis of Protein Samples Using SP3 and Mass Spectrometry
Chapter number 5
Book title
Current Topics in Behavioral Neurosciences
Published in
Current topics in behavioral neurosciences, March 2019
DOI 10.1007/978-1-4939-9164-8_5
Pubmed ID
Book ISBNs
978-1-4939-9163-1, 978-1-4939-9164-8
Authors

Christopher S. Hughes, Poul H. Sorensen, Gregg B. Morin, Hughes, Christopher S., Sorensen, Poul H., Morin, Gregg B.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Master 5 17%
Researcher 3 10%
Student > Postgraduate 3 10%
Other 2 7%
Other 5 17%
Unknown 7 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 33%
Neuroscience 2 7%
Medicine and Dentistry 2 7%
Environmental Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 10%
Unknown 11 37%

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 11 March 2019.
All research outputs
#16,970,234
of 21,036,846 outputs
Outputs from Current topics in behavioral neurosciences
#340
of 436 outputs
Outputs of similar age
#214,943
of 284,641 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#1
of 1 outputs
Altmetric has tracked 21,036,846 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 436 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them