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Cancer Gene Profiling

Overview of attention for book
Attention for Chapter 3: Tissue Microarrays.
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Chapter title
Tissue Microarrays.
Chapter number 3
Book title
Cancer Gene Profiling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3204-7_3
Pubmed ID
Book ISBNs
978-1-4939-3203-0, 978-1-4939-3204-7
Authors

Dancau, Ana-Maria, Simon, Ronald, Mirlacher, Martina, Sauter, Guido, Ana-Maria Dancau, Ronald Simon, Martina Mirlacher, Guido Sauter

Editors

Robert Grützmann, Christian Pilarsky

Abstract

Modern next-generation sequencing and microarray technologies allow for the simultaneous analysis of all human genes on the DNA, RNA, miRNA, and methylation RNA level. Studies using such techniques have lead to the identification of hundreds of genes with a potential role in cancer or other diseases. The validation of all of these candidate genes requires in situ analysis of high numbers of clinical tissues samples. The tissue microarray technology greatly facilitates such analysis. In this method minute tissue samples (typically 0.6 mm in diameter) from up to 1000 different tissues can be analyzed on one microscope glass slide. All in situ methods suitable for histological studies can be applied to TMAs without major changes of protocols, including immunohistochemistry, fluorescence in situ hybridization, or RNA in situ hybridization. Because all tissues are analyzed simultaneously with the same batch of reagents, TMA studies provide an unprecedented degree of standardization, speed, and cost efficiency.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Netherlands 1 1%
Brazil 1 1%
United Kingdom 1 1%
Canada 1 1%
Japan 1 1%
Unknown 69 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Researcher 17 23%
Student > Master 6 8%
Student > Postgraduate 6 8%
Professor 6 8%
Other 17 23%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 43%
Medicine and Dentistry 15 20%
Biochemistry, Genetics and Molecular Biology 9 12%
Engineering 3 4%
Environmental Science 2 3%
Other 9 12%
Unknown 5 7%

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 18 December 2015.
All research outputs
#5,807,081
of 6,790,336 outputs
Outputs from Methods in molecular biology
#3,212
of 4,795 outputs
Outputs of similar age
#235,689
of 291,128 outputs
Outputs of similar age from Methods in molecular biology
#664
of 1,023 outputs
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So far Altmetric has tracked 4,795 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,023 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.