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Kinase Signaling Networks

Overview of attention for book
Cover of 'Kinase Signaling Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Optogenetic Control of Ras/Erk Signaling Using the Phy–PIF System
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    Chapter 2 Dissecting Kinase Effector Signaling Using the RapRTAP Methodology
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    Chapter 3 Single-Cell Imaging of ERK Signaling Using Fluorescent Biosensors
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    Chapter 4 Quantification of Cell Signaling Networks Using Kinase Activity Chemosensors
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    Chapter 5 Expression of Recombinant Phosphoproteins for Signal Transduction Studies
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    Chapter 6 Allosteric Modulation of Src Family Kinases with ATP-Competitive Inhibitors
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    Chapter 7 Characterization of Ligand Binding to Pseudokinases Using a Thermal Shift Assay
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    Chapter 8 Proteomic Profiling of Protein Kinase Inhibitor Targets by Mass Spectrometry
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    Chapter 9 Utilizing the Luminex Magnetic Bead-Based Suspension Array for Rapid Multiplexed Phosphoprotein Quantification
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    Chapter 10 High-Content Imaging and RNAi Screens for Investigating Kinase Network Plasticity
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    Chapter 11 Analysis of Drug Resistance Using Kinome-Wide Functional Screens
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    Chapter 12 Identification and Validation of Driver Kinases from Next-Generation Sequencing Data
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    Chapter 13 Label-Free Phosphoproteomic Approach for Kinase Signaling Analysis
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    Chapter 14 Cell-Specific Labeling for Analyzing Bidirectional Signaling by Mass Spectrometry
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    Chapter 15 Characterization of the Phospho-Adhesome by Mass Spectrometry-Based Proteomics
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    Chapter 16 Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Lines
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    Chapter 17 Targeted Analysis of Phosphotyrosine Signaling by Multiple Reaction Monitoring Mass Spectrometry
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    Chapter 18 Phosphoproteomic Analysis of Isolated Mitochondria in Yeast
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    Chapter 19 A Methodology for Comprehensive Analysis of Toll-Like Receptor Signaling in Macrophages
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    Chapter 20 Absolute Phosphorylation Stoichiometry Analysis by Motif-Targeting Quantitative Mass Spectrometry
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    Chapter 21 Identification of Plant Kinase Substrates Based on Kinase Assay-Linked Phosphoproteomics
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    Chapter 22 Mass Spectrometry Analysis of Spatial Protein Networks by Colocalization Analysis (COLA)
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    Chapter 23 Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples
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    Chapter 24 Analysis of Signaling Networks at the Single-Cell Level Using Mass Cytometry
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    Chapter 25 Magnetic Resonance Spectroscopy (MRS)-Based Methods for Examining Cancer Metabolism in Response to Oncogenic Kinase Drug Treatment
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    Chapter 26 Deconstructing the Metabolic Networks of Oncogenic Signaling Using Targeted Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)
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    Chapter 27 Modeling of Receptor Tyrosine Kinase Signaling: Computational and Experimental Protocols
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    Chapter 28 An Interdisciplinary Approach for Designing Kinetic Models of the Ras/MAPK Signaling Pathway
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    Chapter 29 Databases and Computational Tools for Evolutionary Analysis of Protein Phosphorylation
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    Chapter 30 Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations
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    Chapter 31 Target Inhibition Maps Based on Responses to Kinase Inhibitors
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    Chapter 32 Partial Least Squares Regression Models for the Analysis of Kinase Signaling
Overall attention for this book and its chapters
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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44 X users
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1 Facebook page

Readers on

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69 Mendeley
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Title
Kinase Signaling Networks
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7154-1
ISBNs
978-1-4939-7152-7, 978-1-4939-7154-1
Editors

Prof. Aik-Choon Tan, Dr. Paul H. Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 38%
Researcher 19 28%
Student > Bachelor 3 4%
Professor 3 4%
Student > Doctoral Student 3 4%
Other 6 9%
Unknown 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 32%
Agricultural and Biological Sciences 15 22%
Chemistry 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Medicine and Dentistry 3 4%
Other 8 12%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 29 July 2019.
All research outputs
#1,544,690
of 25,200,621 outputs
Outputs from Methods in molecular biology
#190
of 14,137 outputs
Outputs of similar age
#31,518
of 432,791 outputs
Outputs of similar age from Methods in molecular biology
#26
of 1,085 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,137 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 432,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1,085 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 97% of its contemporaries.