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Data Integration in the Life Sciences

Overview of attention for book
Cover of 'Data Integration in the Life Sciences'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Challenges in Biological Data Integration in the Post-genome Sequence Era
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    Chapter 2 Curated Databases
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    Chapter 3 A User-Centric Framework for Accessing Biological Sources and Tools
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    Chapter 4 BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers
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    Chapter 5 Learning Layouts of Biological Datasets Semi-automatically
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    Chapter 6 Factors Affecting Ontology Development in Ecology
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    Chapter 7 Querying Ontologies in Relational Database Systems
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    Chapter 8 Scientific Names Are Ambiguous as Identifiers for Biological Taxa: Their Context and Definition Are Required for Accurate Data Integration
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    Chapter 9 The Multiple Roles of Ontologies in the BioMediator Data Integration System
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    Chapter 10 Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
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    Chapter 11 Knowledge-Based Integrative Framework for Hypothesis Formation in Biochemical Networks
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    Chapter 12 Semantic Correspondence in Federated Life Science Data Integration Systems
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    Chapter 13 Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples
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    Chapter 14 Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW
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    Chapter 15 Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
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    Chapter 16 Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
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    Chapter 17 Hybrid Integration of Molecular-Biological Annotation Data
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    Chapter 18 Setup and Annotation of Metabolomic Experiments by Integrating Biological and Mass Spectrometric Metadata
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    Chapter 19 Performance-Oriented Privacy-Preserving Data Integration
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    Chapter 20 Building a Generic Platform for Medical Screening Applications Based on Domain Specific Modeling and Process Orientation
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    Chapter 21 Automatic Generation of Data Types for Classification of Deep Web Sources
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    Chapter 22 BioNavigation: Selecting Optimum Paths Through Biological Resources to Evaluate Ontological Navigational Queries
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    Chapter 23 Support for BioIndexing in BLASTgres
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    Chapter 24 An Environment to Define and Execute In-Silico Workflows Using Web Services
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    Chapter 25 Web Service Mining for Biological Pathway Discovery
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    Chapter 26 SemanticBio: Building Conceptual Scientific Workflows over Web Services
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    Chapter 27 PLATCOM: Current Status and Plan for the Next Stages
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    Chapter 28 SOAP API for Integrating Biological Interaction Databases
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    Chapter 29 Collaborative Curation of Data from Bio-medical Texts and Abstracts and Its integration
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    Chapter 30 Towards an Ontology Based Visual Query System
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    Chapter 31 Data Integration in the Biomedical Informatics Research Network (BIRN)
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    Chapter 32 Data Integration and Workflow Solutions for Ecology
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    Chapter 33 Eco-Informatics for Decision Makers Advancing a Research Agenda
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    Chapter 34 An Architecture and Application for Integrating Curation Data at the Residue Level for Proteins
  36. Altmetric Badge
    Chapter 35 The Biozon System for Complex Analysis of Heterogeneous Interrelated Biological Data and Discovery of Emergent Structures
Attention for Chapter 13: Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples
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About this Attention Score

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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
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Chapter title
Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples
Chapter number 13
Book title
Data Integration in the Life Sciences
Published in
Lecture notes in computer science, July 2005
DOI 10.1007/11530084_13
Book ISBNs
978-3-54-027967-9, 978-3-54-031879-8
Authors

Greeshma Neglur, Robert L. Grossman, Bing Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Bulgaria 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 12%
Researcher 5 12%
Professor > Associate Professor 3 7%
Other 7 17%
Unknown 7 17%
Readers by discipline Count As %
Computer Science 10 24%
Biochemistry, Genetics and Molecular Biology 5 12%
Chemistry 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Agricultural and Biological Sciences 4 10%
Other 6 14%
Unknown 8 19%
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 06 February 2015.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#20,115
of 57,285 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 49 outputs
Altmetric has tracked 22,780,967 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 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 57,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.