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Drosophila

Overview of attention for book
Cover of 'Drosophila'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Using FlyBase, a Database of Drosophila Genes and Genomes.
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    Chapter 2 The GAL4 System: A Versatile System for the Manipulation and Analysis of Gene Expression.
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    Chapter 3 The Q-System: A Versatile Expression System for Drosophila.
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    Chapter 4 Analysis of MicroRNA Function in Drosophila.
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    Chapter 5 Methods for High-Throughput RNAi Screening in Drosophila Cells.
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    Chapter 6 A Guide to Genome-Wide In Vivo RNAi Applications in Drosophila.
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    Chapter 7 Creating Heritable Mutations in Drosophila with CRISPR-Cas9.
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    Chapter 8 Performing Chromophore-Assisted Laser Inactivation in Drosophila Embryos Using GFP.
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    Chapter 9 deGradFP: A System to Knockdown GFP-Tagged Proteins.
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    Chapter 10 Drosophila
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    Chapter 11 Cultivation and Live Imaging of Drosophila Imaginal Discs.
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    Chapter 12 Cultivation and Live Imaging of Drosophila Ovaries.
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    Chapter 13 Segmentation and Quantitative Analysis of Epithelial Tissues.
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    Chapter 14 Laser Ablation to Probe the Epithelial Mechanics in Drosophila.
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    Chapter 15 Rapid Ovary Mass-Isolation (ROMi) to Obtain Large Quantities of Drosophila Egg Chambers for Fluorescent In Situ Hybridization.
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    Chapter 16 Drosophila
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    Chapter 17 Protocols to Study Growth and Metabolism in Drosophila.
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    Chapter 18 Protocols to Study Aging in Drosophila.
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    Chapter 19 Protocols to Study Behavior in Drosophila.
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    Chapter 20 Electrophysiological Recordings from Lobula Plate Tangential Cells in Drosophila.
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    Chapter 21 Methods to Establish Drosophila Cell Lines.
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    Chapter 22 Erratum to: The GAL4 System: A Versatile System for the Manipulation and Analysis of Gene Expression
Attention for Chapter 6: A Guide to Genome-Wide In Vivo RNAi Applications in Drosophila.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

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2 Dimensions

Readers on

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15 Mendeley
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Chapter title
A Guide to Genome-Wide In Vivo RNAi Applications in Drosophila.
Chapter number 6
Book title
Drosophila
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6371-3_6
Pubmed ID
Book ISBNs
978-1-4939-6369-0, 978-1-4939-6371-3
Authors

Aynur Kaya-Çopur, Frank Schnorrer, Kaya-Çopur, Aynur, Schnorrer, Frank

Editors

Christian Dahmann

Abstract

RNAi technologies enable the testing of gene function in a cell-type- and stage-specific manner in Drosophila. The development of genome-wide RNAi libraries has allowed expansion of this approach to the genome scale and supports identification of most genes required for a given process in a cell type of choice. However, a large-scale RNAi approach also harbors many potential pitfalls that can complicate interpretation of the results. Here, we summarize published screens and provide a guide on how to optimally plan and perform a large-scale, in vivo RNAi screen. We highlight the importance of assay design and give suggestions on how to optimize the assay conditions by testing positive and negative control genes. These genes are used to estimate false-negative and false-positive rates of the screen data. We discuss the planning and logistics of a large-scale screen in detail and suggest bioinformatics platforms to identify and select gene groups of interest for secondary assays. Finally, we review various options to confirm RNAi knock-down specificity and thus identify high confidence genes for more detailed case-by-case studies in the future.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Bachelor 4 27%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Agricultural and Biological Sciences 7 47%
Unknown 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 April 2017.
All research outputs
#1,240,338
of 11,340,713 outputs
Outputs from Methods in molecular biology
#342
of 7,667 outputs
Outputs of similar age
#46,918
of 258,080 outputs
Outputs of similar age from Methods in molecular biology
#2
of 8 outputs
Altmetric has tracked 11,340,713 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,667 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 95% 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 258,080 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.