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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
  2. Altmetric Badge
    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 8: Tube-Gel: A Fast and Effective Sample Preparation Method for High-Throughput Quantitative Proteomics
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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 (74th percentile)

Mentioned by

1 blog
1 tweeter


2 Dimensions

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2 Mendeley
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Chapter title
Tube-Gel: A Fast and Effective Sample Preparation Method for High-Throughput Quantitative Proteomics
Chapter number 8
Book title
Current Topics in Behavioral Neurosciences
Published in
Current topics in behavioral neurosciences, March 2019
DOI 10.1007/978-1-4939-9164-8_8
Pubmed ID
Book ISBNs
978-1-4939-9163-1, 978-1-4939-9164-8

Leslie Muller, Luc Fornecker, Sarah Cianferani, Christine Carapito, Muller, Leslie, Fornecker, Luc, Cianferani, Sarah, Carapito, Christine

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Agricultural and Biological Sciences 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 May 2019.
All research outputs
of 14,793,395 outputs
Outputs from Current topics in behavioral neurosciences
of 351 outputs
Outputs of similar age
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Outputs of similar age from Current topics in behavioral neurosciences
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Altmetric has tracked 14,793,395 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 75% 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 264,358 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 74% of its contemporaries.
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