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The Nuclear Receptor Superfamily

Overview of attention for book
The Nuclear Receptor Superfamily
Springer New York
Attention for Chapter 14: Development and Characterization of Cell-Specific Androgen Receptor Knockout Mice
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3 X users

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8 Mendeley
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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
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.
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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%
Professor > Associate Professor 1 13%
Student > Doctoral Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Medicine and Dentistry 1 13%
Unknown 4 50%
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
#15,950,371
of 26,542,140 outputs
Outputs from Methods in molecular biology
#4,425
of 14,502 outputs
Outputs of similar age
#209,286
of 403,983 outputs
Outputs of similar age from Methods in molecular biology
#380
of 1,445 outputs
Altmetric has tracked 26,542,140 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,502 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 67% 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 403,983 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,445 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 71% of its contemporaries.