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Plant Bioinformatics

Overview of attention for book
Cover of 'Plant Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The EMBL Nucleotide Sequence and Genome Reviews Databases
  3. Altmetric Badge
    Chapter 2 Using GenBank
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    Chapter 3 A Collection of Plant-Specific Genomic Data and Resources at NCBI
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    Chapter 4 UniProtKB/Swiss-Prot.
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    Chapter 5 Plant Database Resources at The Institute for Genomic Research
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    Chapter 6 MIPS Plant Genome Information Resources
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    Chapter 7 HarvEST
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    Chapter 8 The TAIR Database
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    Chapter 9 AtEnsEMBL
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    Chapter 10 Accessing Integrated Brassica
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    Chapter 11 Leveraging model legume information to find candidate genes for soybean sudden death syndrome using the legume information system.
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    Chapter 12 Legume Resources: MtDB and Medicago.Org
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    Chapter 13 BGI-RIS V2
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    Chapter 14 GrainGenes
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    Chapter 15 Gramene
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    Chapter 16 MaizeGDB
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    Chapter 17 BarleyBase/PLEXdb
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    Chapter 18 Reaping the Benefits of SAGE
  20. Altmetric Badge
    Chapter 19 Methods for Analysis of Gene Expression in Plants Using MPSS
  21. Altmetric Badge
    Chapter 20 Plant Bioinformatics
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    Chapter 21 KEGG Bioinformatics Resource for Plant Genomics Research
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    Chapter 22 International Crop Information System for Germplasm Data Management
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    Chapter 23 Automated discovery of single nucleotide polymorphism and simple sequence repeat molecular genetic markers.
  25. Altmetric Badge
    Chapter 24 Methods for Gene Ontology Annotation
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    Chapter 25 Gene Structure Annotation at PlantGDB
  27. Altmetric Badge
    Chapter 26 An Introduction to BioPerl
Attention for Chapter 4: UniProtKB/Swiss-Prot.
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Mentioned by

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1 Wikipedia page

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291 Mendeley
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1 CiteULike
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Chapter title
UniProtKB/Swiss-Prot.
Chapter number 4
Book title
Plant Bioinformatics
Published in
Methods in molecular biology, February 2008
DOI 10.1007/978-1-59745-535-0_4
Pubmed ID
Book ISBNs
978-1-58829-653-5, 978-1-59745-535-0
Authors

Emmanuel Boutet, Damien Lieberherr, Michael Tognolli, Michel Schneider, Amos Bairoch, Boutet, Emmanuel, Lieberherr, Damien, Tognolli, Michael, Schneider, Michel, Bairoch, Amos

Abstract

The Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI), and the Protein Information Resource (PIR) form the Universal Protein Resource (UniProt) consortium. Its main goal is to provide the scientific community with a central resource for protein sequences and functional information. The UniProt consortium maintains the UniProt KnowledgeBase (UniProtKB) and several supplementary databases including the UniProt Reference Clusters (UniRef) and the UniProt Archive (UniParc). (1) UniProtKB is a comprehensive protein sequence knowledgebase that consists of two sections: UniProtKB/Swiss-Prot, which contains manually annotated entries, and UniProtKB/TrEMBL, which contains computer-annotated entries. UniProtKB/Swiss-Prot entries contain information curated by biologists and provide users with cross-links to about 100 external databases and with access to additional information or tools. (2) The UniRef databases (UniRef100, UniRef90, and UniRef50) define clusters of protein sequences that share 100, 90, or 50% identity. (3) The UniParc database stores and maps all publicly available protein sequence data, including obsolete data excluded from UniProtKB. The UniProt databases can be accessed online (http://www.uniprot.org/) or downloaded in several formats (ftp://ftp.uniprot.org/pub). New releases are published every 2 weeks. The purpose of this chapter is to present a guided tour of a UniProtKB/Swiss-Prot entry, paying particular attention to the specificities of plant protein annotation. We will also present some of the tools and databases that are linked to each entry.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Spain 2 <1%
United States 2 <1%
Unknown 281 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 24%
Student > Master 48 16%
Researcher 41 14%
Student > Bachelor 24 8%
Student > Doctoral Student 15 5%
Other 37 13%
Unknown 57 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 33%
Biochemistry, Genetics and Molecular Biology 75 26%
Computer Science 11 4%
Chemistry 8 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 28 10%
Unknown 67 23%
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 27 December 2008.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Methods in molecular biology
#2,316
of 13,094 outputs
Outputs of similar age
#28,515
of 79,974 outputs
Outputs of similar age from Methods in molecular biology
#3
of 16 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 79,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.