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Plant Genomics Databases

Overview of attention for book
Cover of 'Plant Genomics Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomic Data.
  3. Altmetric Badge
    Chapter 2 PGSB/MIPS PlantsDB Database Framework for the Integration and Analysis of Plant Genome Data.
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    Chapter 3 Plant Genome DataBase Japan (PGDBj).
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    Chapter 4 FLAGdb(++): A Bioinformatic Environment to Study and Compare Plant Genomes.
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    Chapter 5 Mining Plant Genomic and Genetic Data Using the GnpIS Information System.
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    Chapter 6 The Bio-Analytic Resource for Plant Biology.
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    Chapter 7 The Evolution of Soybean Knowledge Base (SoyKB).
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    Chapter 8 Using TropGeneDB: A Database Containing Data on Molecular Markers, QTLs, Maps, Genotypes, and Phenotypes for Tropical Crops.
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    Chapter 9 Species-Specific Genome Sequence Databases: A Practical Review.
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    Chapter 10 A Guide to the PLAZA 3.0 Plant Comparative Genomic Database.
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    Chapter 11 Exploring Plant Co-Expression and Gene-Gene Interactions with CORNET 3.0.
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    Chapter 12 PlaNet: Comparative Co-Expression Network Analyses for Plants.
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    Chapter 13 Practical Utilization of OryzaExpress and Plant Omics Data Center Databases to Explore Gene Expression Networks in Oryza Sativa and Other Plant Species.
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    Chapter 14 Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study.
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    Chapter 15 CSGRqtl: A Comparative Quantitative Trait Locus Database for Saccharinae Grasses.
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    Chapter 16 Plant Genome Duplication Database.
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    Chapter 17 Variant Effect Prediction Analysis Using Resources Available at Gramene Database.
  19. Altmetric Badge
    Chapter 18 Plant Promoter Database (PPDB).
  20. Altmetric Badge
    Chapter 19 Construction of the Leaf Senescence Database and Functional Assessment of Senescence-Associated Genes.
Attention for Chapter 10: A Guide to the PLAZA 3.0 Plant Comparative Genomic Database.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Citations

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Chapter title
A Guide to the PLAZA 3.0 Plant Comparative Genomic Database.
Chapter number 10
Book title
Plant Genomics Databases
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6658-5_10
Pubmed ID
27987171
Book ISBNs
978-1-4939-6656-1, 978-1-4939-6658-5
Authors

Klaas Vandepoele

Editors

Aalt D.J van Dijk

Abstract

PLAZA 3.0 is an online resource for comparative genomics and offers a versatile platform to study gene functions and gene families or to analyze genome organization and evolution in the green plant lineage. Starting from genome sequence information for over 35 plant species, precomputed comparative genomic data sets cover homologous gene families, multiple sequence alignments, phylogenetic trees, and genomic colinearity information within and between species. Complementary functional data sets, a Workbench, and interactive visualization tools are available through a user-friendly web interface, making PLAZA an excellent starting point to translate sequence or omics data sets into biological knowledge. PLAZA is available at http://bioinformatics.psb.ugent.be/plaza/ .

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 2 22%
Professor 1 11%
Student > Master 1 11%
Student > Bachelor 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 44%
Agricultural and Biological Sciences 2 22%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 July 2017.
All research outputs
#12,790,436
of 22,914,829 outputs
Outputs from Methods in molecular biology
#3,217
of 13,131 outputs
Outputs of similar age
#196,190
of 420,479 outputs
Outputs of similar age from Methods in molecular biology
#296
of 1,074 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has done well, scoring higher than 75% 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 420,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.

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