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Urine

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Cover of 'Urine'

Table of Contents

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    Book Overview
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    Chapter 1 Urine Is Not a Human Waste but a Medical Treasure
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    Chapter 2 Human Urine Proteome: A Powerful Source for Clinical Research
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    Chapter 3 Comparison of Urinary Proteomes Among Three Animal Models
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    Chapter 4 Urimem, a Membrane that Stores Urinary Components for Large-Scale Biomarker Study
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    Chapter 5 Posttranslation Modifications of Human Urine
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    Chapter 6 Application of Peptide Level and Posttranslational Modifications to Integrative Analyses in Proteomics
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    Chapter 7 Urinary Protein Biomarker Database 2.0: A Literature-Curated Database for Protein Biomarkers in Urine
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    Chapter 8 Urine Glucose Levels Are Disordered Before Blood Glucose Level Increase Was Observed in Zucker Diabetic Fatty Rats
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    Chapter 9 Cancer Biomarker Discovery in Urine of Walker 256 Tumor-Bearing Models
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    Chapter 10 Candidate Urinary Biomarker Discovery in Gliomas
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    Chapter 11 Changes in the Urinary Proteome in a Patient-Derived Xenograft (PDX) Nude Mouse Model of Colorectal Tumor
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    Chapter 12 Urine Is an Ideal Biomarker Resource in Early Detecting Neurodegenerative Diseases
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    Chapter 13 Urinary Proteome Biomarkers for Early Detection of Respiratory Diseases
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    Chapter 14 Application of Urine Proteome in Cardiac Diseases Biomarker Discovery
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    Chapter 15 Changes of Urinary Proteins in Infectious Disease Models
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    Chapter 16 The Application of Urinary Proteomics in Early Detection of Digestive Diseases
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    Chapter 17 Serial Changes of Urinary Proteome in Animal Models of Renal Diseases
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    Chapter 18 Effects of Extrinsic Factors on the Urinary Proteome
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    Chapter 19 Exhaled Breath: Another Biomarker Source That Is Complementary to Urine
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    Chapter 20 Tears: Potential Window for Monitoring Systemic Conditions
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Title
Urine
Published by
Springer Singapore, October 2019
DOI 10.1007/978-981-13-9109-5
ISBNs
978-9-81-139108-8, 978-9-81-139109-5
Editors

Gao, Youhe

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 29%
Researcher 2 14%
Other 2 14%
Student > Master 2 14%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Nursing and Health Professions 1 7%
Computer Science 1 7%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Other 2 14%
Unknown 4 29%