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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

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    Book Overview
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    Chapter 1 An Ontology-Driven Framework for Data Transformation in Scientific Workflows
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    Chapter 2 PROVA: Rule-Based Java-Scripting for a Bioinformatics Semantic Web
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    Chapter 3 Process Based Data Logistics: a Solution for Clinical Integration Problems
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    Chapter 4 Domain-Specific Concepts and Ontological Reduction within a Data Dictionary Framework
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    Chapter 5 A Universal Character Model and Ontology of Defined Terms for Taxonomic Description
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    Chapter 6 On the Application of Formal Principles to Life Science Data: a Case Study in the Gene Ontology
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    Chapter 7 Index-Driven XML Data Integration to Support Functional Genomics
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    Chapter 8 Heterogeneous Data Integration with the Consensus Clustering Formalism
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    Chapter 9 LinkSuite TM : Formally Robust Ontology-Based Data and Information Integration
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    Chapter 10 BioDataServer : an Applied Molecular Biological Data Integration Service
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    Chapter 11 Columba : Multidimensional Data Integration of Protein Annotations
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    Chapter 12 On the Integration of a Large Number of Life Science Web Databases
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    Chapter 13 Efficient Techniques to Explore and Rank Paths in Life Science Data Sources
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    Chapter 14 Links and Paths through Life Sciences Data Sources
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    Chapter 15 Pathway and Protein Interaction Data: from XML to FDM Database
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
122 Mendeley
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Title
Data Integration in the Life Sciences
Published by
Lecture notes in computer science, January 2004
DOI 10.1007/b96666
ISBNs
978-3-54-021300-0, 978-3-54-024745-6
Authors

Erhard Rahm

Editors

Erhard Rahm

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 <1%
Unknown 121 99%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 <1%
Unknown 121 99%
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 29 May 2012.
All research outputs
#7,478,822
of 22,862,742 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,127 outputs
Outputs of similar age
#33,487
of 133,339 outputs
Outputs of similar age from Lecture notes in computer science
#50
of 115 outputs
Altmetric has tracked 22,862,742 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 8,127 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 133,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.