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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 An Asset Management Approach to Continuous Integration of Heterogeneous Biomedical Data
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    Chapter 2 Mining Linked Open Data: A Case Study with Genes Responsible for Intellectual Disability
  4. Altmetric Badge
    Chapter 3 Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System
  5. Altmetric Badge
    Chapter 4 Data Management Experiences and Best Practices from the Perspective of a Plant Research Institute
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    Chapter 5 A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services
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    Chapter 6 Handling Multiple Foci in Graph Databases
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    Chapter 7 Completing the is-a Structure of Biomedical Ontologies
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    Chapter 8 Annotation-Based Feature Extraction from Sets of SBML Models
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    Chapter 9 REX – A Tool for Discovering Evolution Trends in Ontology Regions
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    Chapter 10 Towards Visualizing the Alignment of Large Biomedical Ontologies
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    Chapter 11 Discovering Relations between Indirectly Connected Biomedical Concepts
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    Chapter 12 Exploiting Semantics from Ontologies and Shared Annotations to Partition Linked Data
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    Chapter 13 ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data
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    Chapter 14 An Introduction to the Data Retrieval Facilities of the XQt Language for Scientific Data
Attention for Chapter 5: A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services
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Chapter title
A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services
Chapter number 5
Book title
Data Integration in the Life Sciences
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-08590-6_5
Book ISBNs
978-3-31-908589-0, 978-3-31-908590-6
Authors

Marie-Angélique Laporte, Isabelle Mougenot, Eric Garnier, Ulrike Stahl, Lutz Maicher, Jens Kattge, Helena Galhardas, Erhard Rahm

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Researcher 2 14%
Student > Postgraduate 2 14%
Professor > Associate Professor 2 14%
Student > Master 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 6 43%
Environmental Science 1 7%
Earth and Planetary Sciences 1 7%
Social Sciences 1 7%
Materials Science 1 7%
Other 0 0%
Unknown 4 29%
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 23 July 2014.
All research outputs
#15,303,056
of 22,758,963 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,126 outputs
Outputs of similar age
#190,020
of 305,274 outputs
Outputs of similar age from Lecture notes in computer science
#163
of 279 outputs
Altmetric has tracked 22,758,963 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 8,126 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 305,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.