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Drosophila

Overview of attention for book
Cover of 'Drosophila'

Table of Contents

  1. Altmetric Badge
    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 1: Using FlyBase, a Database of Drosophila Genes and Genomes.
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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1 tweeter

Citations

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2 Dimensions

Readers on

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31 Mendeley
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Chapter title
Using FlyBase, a Database of Drosophila Genes and Genomes.
Chapter number 1
Book title
Drosophila
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6371-3_1
Pubmed ID
Book ISBNs
978-1-4939-6369-0, 978-1-4939-6371-3
Authors

Steven J. Marygold, Madeline A. Crosby, Joshua L. Goodman, The FlyBase Consortium, Marygold, Steven J, Crosby, Madeline A, Goodman, Joshua L, , , the FlyBase Consortium, Marygold, Steven J., Crosby, Madeline A., Goodman, Joshua L.

Editors

Christian Dahmann

Abstract

For nearly 25 years, FlyBase (flybase.org) has provided a freely available online database of biological information about Drosophila species, focusing on the model organism D. melanogaster. The need for a centralized, integrated view of Drosophila research has never been greater as advances in genomic, proteomic, and high-throughput technologies add to the quantity and diversity of available data and resources.FlyBase has taken several approaches to respond to these changes in the research landscape. Novel report pages have been generated for new reagent types and physical interaction data; Drosophila models of human disease are now represented and showcased in dedicated Human Disease Model Reports; other integrated reports have been established that bring together related genes, datasets, or reagents; Gene Reports have been revised to improve access to new data types and to highlight functional data; links to external sites have been organized and expanded; and new tools have been developed to display and interrogate all these data, including improved batch processing and bulk file availability. In addition, several new community initiatives have served to enhance interactions between researchers and FlyBase, resulting in direct user contributions and improved feedback.This chapter provides an overview of the data content, organization, and available tools within FlyBase, focusing on recent improvements. We hope it serves as a guide for our diverse user base, enabling efficient and effective exploration of the database and thereby accelerating research discoveries.

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

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 26%
Student > Ph. D. Student 7 23%
Researcher 4 13%
Librarian 1 3%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 7 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 42%
Agricultural and Biological Sciences 7 23%
Medicine and Dentistry 2 6%
Nursing and Health Professions 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 7 23%

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 16 November 2016.
All research outputs
#4,659,095
of 8,642,080 outputs
Outputs from Methods in molecular biology
#2,149
of 6,402 outputs
Outputs of similar age
#139,492
of 253,427 outputs
Outputs of similar age from Methods in molecular biology
#3
of 8 outputs
Altmetric has tracked 8,642,080 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,402 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 54% 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 253,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
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 5 of them.