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The Nuclear Receptor Superfamily

Overview of attention for book
Cover of 'The Nuclear Receptor Superfamily'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Nuclear Receptor Superfamily at Thirty
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    Chapter 2 Lipid Homeostasis and Ligands for Liver X Receptors: Identification and Characterization
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    Chapter 3 Use of Differential Scanning Fluorimetry to Identify Nuclear Receptor Ligands
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    Chapter 4 Drug-Discovery Pipeline for Novel Inhibitors of the Androgen Receptor
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    Chapter 5 Use of BRET to Study Protein–Protein Interactions In Vitro and In Vivo
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    Chapter 6 Studying Nuclear Receptor Complexes in the Cellular Environment
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    Chapter 7 Posttranslational Modifications of Steroid Receptors: Phosphorylation
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    Chapter 8 Mapping Protein–DNA Interactions Using ChIP-exo and Illumina-Based Sequencing
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    Chapter 9 Methods to Identify Chromatin-Bound Protein Complexes: From Genome-Wide to Locus-Specific Approaches
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    Chapter 10 Measuring the Expression of microRNAs Regulated by Androgens
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    Chapter 11 Methods for Identifying and Quantifying mRNA Expression of Androgen Receptor Splicing Variants in Prostate Cancer
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    Chapter 12 Harvesting Human Prostate Tissue Material and Culturing Primary Prostate Epithelial Cells
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    Chapter 13 In Vivo Imaging of Nuclear Receptor Transcriptional Activity
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    Chapter 14 Development and Characterization of Cell-Specific Androgen Receptor Knockout Mice
Attention for Chapter 14: Development and Characterization of Cell-Specific Androgen Receptor Knockout Mice
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  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Chapter title
Development and Characterization of Cell-Specific Androgen Receptor Knockout Mice
Chapter number 14
Book title
The Nuclear Receptor Superfamily
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3724-0_14
Pubmed ID
27246343
Book ISBNs
978-1-4939-3722-6, 978-1-4939-3724-0
Authors

Laura O’Hara, Lee B. Smith, O’Hara, Laura, Smith, Lee B.

Abstract

Conditional gene targeting has revolutionized molecular genetic analysis of nuclear receptor proteins, however development and analysis of such conditional knockouts is far from simple, with many caveats and pitfalls waiting to snare the novice or unprepared. In this chapter, we describe our experience of generating and analyzing mouse models with conditional ablation of the androgen receptor (AR) from tissues of the reproductive system and other organs. The guidance, suggestions, and protocols outlined in the chapter provide the key starting point for analyses of conditional-ARKO mice, completing them as described provides an excellent framework for further focussed project-specific analyses, and applies equally well to analysis of reproductive tissues from any mouse model generated through conditional gene targeting.

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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Unspecified 1 13%
Professor > Associate Professor 1 13%
Student > Doctoral Student 1 13%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Unspecified 1 13%
Medicine and Dentistry 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 June 2016.
All research outputs
#13,598,171
of 23,054,359 outputs
Outputs from Methods in molecular biology
#3,662
of 13,196 outputs
Outputs of similar age
#191,159
of 394,794 outputs
Outputs of similar age from Methods in molecular biology
#350
of 1,471 outputs
Altmetric has tracked 23,054,359 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 394,794 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 50% of its contemporaries.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.

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