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Investigations of Early Nutrition Effects on Long-Term Health

Overview of attention for book
Cover of 'Investigations of Early Nutrition Effects on Long-Term Health'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Nutritional Programming Effects on Development of Metabolic Disorders in Later Life
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    Chapter 2 Effects of Prenatal Nutrition and the Role of the Placenta in Health and Disease
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    Chapter 3 Developmental Origins of Stress and Psychiatric Disorders
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    Chapter 4 Proteomic Studies of Psychiatric Disorders
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    Chapter 5 Developmental Origins of Breast Cancer: A Paternal Perspective
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    Chapter 6 Point-of-Care Testing and Personalized Medicine for Metabolic Disorders
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    Chapter 7 Pregnancy and Lactation: A Window of Opportunity to Improve Individual Health
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    Chapter 8 Utility of Small Animal Models of Developmental Programming
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    Chapter 9 Generation of Maternal Obesity Models in Studies of Developmental Programming in Rodents
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    Chapter 10 Generation of the Maternal Low-Protein Rat Model for Studies of Metabolic Disorders
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    Chapter 11 Investigation of Paternal Programming of Breast Cancer Risk in Female Offspring in Rodent Models
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    Chapter 12 Studies of Isolated Peripheral Blood Cells as a Model of Immune Dysfunction
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    Chapter 13 Studies of a Neuronal Cell Line as a Model of Psychiatric Disorders
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    Chapter 14 Assessment of Placental Transport Function in Studies of Disease Programming
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    Chapter 15 Assessment of Fatty Liver in Models of Disease Programming
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    Chapter 16 Capillary Blood Sampling from the Finger
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    Chapter 17 Physical Activity Assessment in Clinical Studies of Substance Use Disorder
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    Chapter 18 Cardiopulmonary Exercise Testing
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    Chapter 19 Cardiovascular Assessment in Human Research
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    Chapter 20 Nutritional Programming Effects on the Immune System
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    Chapter 21 Small RNA Sequencing: A Technique for miRNA Profiling
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    Chapter 22 Pulse-Chase Biosynthetic Radiolabeling of Pancreatic Islets to Measure Beta Cell Function
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    Chapter 23 Rapid and Easy Protocol for Quantification of Next-Generation Sequencing Libraries
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    Chapter 24 Telomere Length Analysis: A Tool for Dissecting Aging Mechanisms in Developmental Programming
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    Chapter 25 Qualitative and Quantitative NMR Approaches in Blood Serum Lipidomics
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    Chapter 26 In Vivo Electrical Stimulation for the Assessment of Skeletal Muscle Contractile Function in Murine Models
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    Chapter 27 Experimental Model of Skeletal Muscle Laceration in Rats
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    Chapter 28 Neuropsychiatric Sequelae of Early Nutritional Modifications: A Beginner’s Guide to Behavioral Analysis
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    Chapter 29 Hyperlocomotion Test for Assessing Behavioral Disorders
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    Chapter 30 2D-DIGE Analysis of Eye Lens Proteins as a Measure of Cataract Formation
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    Chapter 31 Mass Spectrometry Profiling of Pituitary Glands
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    Chapter 32 Multiplex Immunoassay Profiling of Hormones Involved in Metabolic Regulation
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    Chapter 33 Time-Resolved Fluorescence Assays for Quantification of Insulin Precursors in Plasma and Serum
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    Chapter 34 Identification of Neural Stem Cell Biomarkers by Isobaric Tagging for Relative and Absolute Quantitation (iTRAQ) Mass Spectrometry
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    Chapter 35 Lab-on-a-Chip Device for Rapid Measurement of Vitamin D Levels
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    Chapter 36 Kidney Smartphone Diagnostics
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    Chapter 37 A User-Friendly App for Blood Coagulation Disorders
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    Chapter 38 Hormonal Smartphone Diagnostics
Attention for Chapter 38: Hormonal Smartphone Diagnostics
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Chapter title
Hormonal Smartphone Diagnostics
Chapter number 38
Book title
Investigations of Early Nutrition Effects on Long-Term Health
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7614-0_38
Pubmed ID
Book ISBNs
978-1-4939-7613-3, 978-1-4939-7614-0

P. R. Matías-García, J. L. Martinez-Hurtado, A. Beckley, M. Schmidmayr, V. Seifert-Klauss


Mobile point-of-care diagnostics are paramount for the provision of healthcare. Hormonal diagnostics are powerful tools to monitor timely changes in human physiology. Hormone concentrations in serum directly correlate with urine excretions with minor time delays. Therefore, rapid tests for hormones in urine have been widely used for decades as means of early diagnostics, particularly in lateral flow immunoassay formats. However, the challenge of reading and interpreting these binary tests remains. Here we present a method for utilizing mobile technologies to quantitatively read and interpret hormonal test strips. The method demonstrates the detection of a urinary by-product of progesterone, pregnanediol glucuronide (PdG), and its relation to ovulation and the fertility cycle.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 > Bachelor 2 14%
Student > Doctoral Student 1 7%
Lecturer 1 7%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 8 57%
Readers by discipline Count As %
Psychology 2 14%
Nursing and Health Professions 1 7%
Energy 1 7%
Medicine and Dentistry 1 7%
Engineering 1 7%
Other 0 0%
Unknown 8 57%
Attention Score in Context

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 31 January 2018.
All research outputs
of 23,018,998 outputs
Outputs from Methods in molecular biology
of 13,165 outputs
Outputs of similar age
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
of 1,498 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 442,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.