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Eukaryotic Genomic Databases

Overview of attention for book
Cover of 'Eukaryotic Genomic Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identifying Sequenced Eukaryotic Genomes and Transcriptomes with diArk
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    Chapter 2 An Introduction to the Saccharomyces Genome Database (SGD)
  4. Altmetric Badge
    Chapter 3 Using the Candida Genome Database
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    Chapter 4 PomBase: The Scientific Resource for Fission Yeast
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    Chapter 5 EuPathDB: The Eukaryotic Pathogen Genomics Database Resource
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    Chapter 6 The Ensembl Genome Browser: Strategies for Accessing Eukaryotic Genome Data
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    Chapter 7 Mouse Genome Informatics (MGI) Is the International Resource for Information on the Laboratory Mouse
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    Chapter 8 A Primer for the Rat Genome Database (RGD)
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    Chapter 9 Bovine Genome Database: Tools for Mining the Bos taurus Genome
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    Chapter 10 Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database
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    Chapter 11 Using ZFIN: Data Types, Organization, and Retrieval
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    Chapter 12 EchinoBase: Tools for Echinoderm Genome Analyses
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    Chapter 13 A Multi-Omics Database for Parasitic Nematodes and Trematodes
  15. Altmetric Badge
    Chapter 14 Using WormBase: A Genome Biology Resource for Caenorhabditis elegans and Related Nematodes
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    Chapter 15 Using WormBase ParaSite: An Integrated Platform for Exploring Helminth Genomic Data
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    Chapter 16 Using FlyBase to Find Functionally Related Drosophila Genes
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    Chapter 17 Hymenoptera Genome Database: Using HymenopteraMine to Enhance Genomic Studies of Hymenopteran Insects
  19. Altmetric Badge
    Chapter 18 Navigating the i5k Workspace@NAL: A Resource for Arthropod Genomes
Attention for Chapter 16: Using FlyBase to Find Functionally Related Drosophila Genes
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Chapter title
Using FlyBase to Find Functionally Related Drosophila Genes
Chapter number 16
Book title
Eukaryotic Genomic Databases
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7737-6_16
Pubmed ID
Book ISBNs
978-1-4939-7736-9, 978-1-4939-7737-6
Authors

Alix J. Rey, Helen Attrill, Steven J. Marygold, The FlyBase Consortium, the FlyBase Consortium, Rey, Alix J., Attrill, Helen, Marygold, Steven J.

Abstract

For more than 25 years, FlyBase ( flybase.org ) has served as an online database of biological information on the genus Drosophila, concentrating on the model organism D. melanogaster. Traditionally, FlyBase data have been organized and presented at a gene-by-gene level, which remains a useful perspective when the object of interest is a specific gene or gene product. However, in the modern era of a fully sequenced genome and an increasingly characterized proteome, it is often desirable to compile and analyze lists of genes related by a common function. This may be achieved in FlyBase by searching for genes annotated with relevant Gene Ontology (GO) terms and/or protein domain data. In addition, FlyBase provides preassembled lists of functionally related D. melanogaster genes within "Gene Group" reports. These are compiled manually from the published literature or expert databases and greatly facilitate access to, and analysis of, established gene sets. This chapter describes protocols to produce lists of functionally related genes in FlyBase using GO annotations, protein domain data and the Gene Groups resource, and provides guidance and advice for their further analysis and processing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Ph. D. Student 3 19%
Researcher 2 13%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Agricultural and Biological Sciences 4 25%
Computer Science 1 6%
Neuroscience 1 6%
Unknown 5 31%
Attention Score in Context

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 17 July 2018.
All research outputs
#3,331,348
of 23,577,654 outputs
Outputs from Methods in molecular biology
#759
of 13,410 outputs
Outputs of similar age
#75,301
of 444,928 outputs
Outputs of similar age from Methods in molecular biology
#56
of 1,483 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 444,928 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 83% of its contemporaries.
We're also able to compare this research output to 1,483 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.