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Mammary Gland Development

Overview of attention for book
Cover of 'Mammary Gland Development'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Mammary Gland Development: A Comparison of Mouse and Human.
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    Chapter 2 Prenatal Mammary Gland Development in the Mouse: Research Models and Techniques for Its Study from Past to Present.
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    Chapter 3 Pubertal Mammary Gland Development: Elucidation of In Vivo Morphogenesis Using Murine Models.
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    Chapter 4 Analysis of Mammary Gland Phenotypes by Transplantation of the Genetically Marked Mammary Epithelium.
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    Chapter 5 Mammary Gland Development
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    Chapter 6 Mammary Gland Development
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    Chapter 7 Analysis of the Involuting Mouse Mammary Gland: An In Vivo Model for Cell Death.
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    Chapter 8 Contractility Assay for Established Myoepithelial Cell Lines.
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    Chapter 9 Using 3D Culture of Primary Mammary Epithelial Cells to Define Molecular Entities Required for Acinus Formation: Analyzing MAP Kinase Phosphatases.
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    Chapter 10 A 3D Fibroblast-Epithelium Co-culture Model for Understanding Microenvironmental Role in Branching Morphogenesis of the Mammary Gland.
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    Chapter 11 Next Generation RNA Sequencing Analysis Reveals Expression of a Transient EMT Profile During Early Organization of MCF10A Cells in 3D.
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    Chapter 12 A 3D Culture Model to Study How Fluid Pressure and Flow Affect the Behavior of Aggregates of Epithelial Cells.
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    Chapter 13 Purification of Distinct Subsets of Epithelial Cells from Normal Human Breast Tissue.
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    Chapter 14 Techniques for the Reprogramming of Exogenous Stem/Progenitor Cell Populations Towards a Mammary Epithelial Cell Fate.
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    Chapter 15 Lineage Tracing of Mammary Stem and Progenitor Cells.
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    Chapter 16 Assessment of Significance of Novel Proteins in Breast Cancer Using Tissue Microarray Technology.
  18. Altmetric Badge
    Chapter 17 Patient-Derived Xenografts of Breast Cancer.
Attention for Chapter 15: Lineage Tracing of Mammary Stem and Progenitor Cells.
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Chapter title
Lineage Tracing of Mammary Stem and Progenitor Cells.
Chapter number 15
Book title
Mammary Gland Development
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6475-8_15
Pubmed ID
Book ISBNs
978-1-4939-6473-4, 978-1-4939-6475-8
Authors

Anoeska A. A. van de Moosdijk, Nai Yang Fu, Anne C. Rios, Jane E. Visvader, Renée van Amerongen, Moosdijk, Anoeska A. A., Fu, Nai Yang, Rios, Anne C., Visvader, Jane E., Amerongen, Renée

Editors

Finian Martin, Torsten Stein, Jillian Howlin

Abstract

Lineage tracing analysis allows mammary epithelial cells to be tracked in their natural environment, thereby revealing cell fate and proliferation choices in the intact tissue. This technique is particularly informative for studying how stem cells build and maintain the mammary epithelium during development and pregnancy. Here we describe two experimental systems based on Cre/loxP technology (Cre(ERT2)/loxP and rtTA/tetO-Cre/loxP), which allow the inducible, permanent labeling of mammary epithelial cells following the administration of either tamoxifen or doxycycline.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Unspecified 2 9%
Student > Bachelor 2 9%
Other 1 4%
Unknown 9 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Agricultural and Biological Sciences 3 13%
Unspecified 2 9%
Nursing and Health Professions 1 4%
Mathematics 1 4%
Other 2 9%
Unknown 8 35%
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 01 November 2016.
All research outputs
#15,758,151
of 23,406,603 outputs
Outputs from Methods in molecular biology
#5,495
of 13,321 outputs
Outputs of similar age
#259,533
of 423,235 outputs
Outputs of similar age from Methods in molecular biology
#471
of 1,074 outputs
Altmetric has tracked 23,406,603 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 13,321 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 423,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.