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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
  2. Altmetric Badge
    Chapter 1 Data Integration in the Life Sciences
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    Chapter 2 Data Integration and Semantic Enrichment of Systems Biology Models and Simulations
  4. Altmetric Badge
    Chapter 3 Linking Life Sciences Data Using Graph-Based Mapping
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    Chapter 4 Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
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    Chapter 5 OpenFlyData: The Way to Go for Biological Data Integration
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    Chapter 6 On the Reachability of Trustworthy Information from Integrated Exploratory Biological Queries
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    Chapter 7 Estimating the Quality of Ontology-Based Annotations by Considering Evolutionary Changes
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    Chapter 8 Integration and Mining of Genomic Annotations: Experiences and Perspectives in GFINDer Data Warehousing
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    Chapter 9 Site-Wide Wrapper Induction for Life Science Deep Web Databases
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    Chapter 10 An Adaptive Combination of Matchers: Application to the Mapping of Biological Ontologies for Genome Annotation
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    Chapter 11 Slicing through the Scientific Literature
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    Chapter 12 Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources
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    Chapter 13 A Visual Interface for on-the-fly Biological Database Integration and Workflow Design Using VizBuilder
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    Chapter 14 EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments
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    Chapter 15 Data Integration in the Life Sciences
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    Chapter 16 An Integration and Analysis Pipeline for Systems Biology in Crop Plant Metabolism
  18. Altmetric Badge
    Chapter 17 Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking
Attention for Chapter 1: Data Integration in the Life Sciences
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Chapter title
Data Integration in the Life Sciences
Chapter number 1
Book title
Data Integration in the Life Sciences
Published in
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-02879-3_1
Book ISBNs
978-3-64-202878-6, 978-3-64-202879-3
Authors

Zachary G. Ives, Ives, Zachary G.

Editors

Norman W. Paton, Paolo Missier, Cornelia Hedeler

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor 2 18%
Student > Postgraduate 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 6 55%
Physics and Astronomy 1 9%
Chemistry 1 9%
Engineering 1 9%
Unknown 2 18%
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 01 March 2013.
All research outputs
#15,265,264
of 22,699,621 outputs
Outputs from Lecture notes in computer science
#4,646
of 8,125 outputs
Outputs of similar age
#141,542
of 168,822 outputs
Outputs of similar age from Lecture notes in computer science
#104
of 177 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 168,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.