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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
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    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
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    Chapter 17 Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Data Integration in the Life Sciences
Published by
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-02879-3
ISBNs
978-3-64-202878-6, 978-3-64-202879-3
Authors

Norman W. Paton, Paolo Missier, Cornelia Hedeler

Editors

Norman W. Paton, Paolo Missier, Cornelia Hedeler

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Postgraduate 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Mathematics 1 25%
Agricultural and Biological Sciences 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 July 2016.
All research outputs
#9,435,475
of 16,056,369 outputs
Outputs from Lecture notes in computer science
#3,905
of 7,638 outputs
Outputs of similar age
#158,239
of 346,766 outputs
Outputs of similar age from Lecture notes in computer science
#561
of 1,118 outputs
Altmetric has tracked 16,056,369 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,638 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 47th percentile – i.e., 47% 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 346,766 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 51% of its contemporaries.
We're also able to compare this research output to 1,118 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.