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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)
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    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
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    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 9: Bovine Genome Database: Tools for Mining the Bos taurus Genome
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Chapter title
Bovine Genome Database: Tools for Mining the Bos taurus Genome
Chapter number 9
Book title
Eukaryotic Genomic Databases
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7737-6_9
Pubmed ID
29761461
Book ISBNs
978-1-4939-7736-9, 978-1-4939-7737-6
Authors

Darren E. Hagen, Deepak R. Unni, Aditi Tayal, Gregory W. Burns, Christine G. Elsik, Hagen, Darren E., Unni, Deepak R., Tayal, Aditi, Burns, Gregory W., Elsik, Christine G.

Abstract

The Bovine Genome Database (BGD; http://bovinegenome.org ) is a web-accessible resource that supports bovine genomics research by providing genome annotation and data mining tools. BovineMine is a tool within BGD that integrates BGD data, including the genome, genes, precomputed gene expression levels and variant consequences, with external data sources that include quantitative trait loci (QTL), orthologues, Gene Ontology, gene interactions, and pathways. BovineMine enables researchers without programming skills to create custom integrated datasets for use in downstream analyses. This chapter describes how to enhance a bovine genomics project using the Bovine Genome Database, with data mining examples demonstrating BovineMine.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 14%
Student > Bachelor 2 14%
Other 1 7%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Other 3 21%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 2 14%
Unspecified 1 7%
Computer Science 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 5 36%
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 25 May 2018.
All research outputs
#18,624,695
of 23,072,295 outputs
Outputs from Methods in molecular biology
#7,988
of 13,200 outputs
Outputs of similar age
#330,733
of 442,535 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
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So far Altmetric has tracked 13,200 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 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.

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