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High-Throughput RNAi Screening

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Attention for Chapter 11: High-Throughput RNAi Screening
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Chapter title
High-Throughput RNAi Screening
Chapter number 11
Book title
High-Throughput RNAi Screening
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6337-9_11
Pubmed ID
Book ISBNs
978-1-4939-6335-5, 978-1-4939-6337-9
Authors

Yin, Hongwei, Kassner, Michelle, Hongwei Yin, Michelle Kassner

Editors

David O. Azorsa, Shilpi Arora

Abstract

High-throughput RNA interference (HT-RNAi) is a powerful tool that can be used to knock down gene expression in order to identify novel genes and pathways involved in many cellular processes. It is a systematic, yet unbiased, approach to identify essential or synthetic lethal genes that promote cell survival in diseased cells as well as genes that confer resistance or sensitivity to drug treatment. This information serves as a foundation for enhancing current treatments for cancer and other diseases by identifying new drug targets, uncovering potential combination therapies, and helping clinicians match patients with the most effective treatment based on genetic information. Here, we describe the method of performing an in vitro HT-RNAi screen using chemically synthesized siRNA.

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The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Neuroscience 2 40%
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Medicine and Dentistry 1 20%
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 02 September 2016.
All research outputs
#18,468,369
of 22,884,315 outputs
Outputs from Methods in molecular biology
#7,923
of 13,131 outputs
Outputs of similar age
#284,575
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.