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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 Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury
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    Chapter 2 GEM: The GAAIN Entity Mapper.
  4. Altmetric Badge
    Chapter 3 Data Integration in the Human Brain Project
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    Chapter 4 SchizConnect: Virtual Data Integration in Neuroimaging.
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    Chapter 5 Annotating Medical Forms Using UMLS
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    Chapter 6 OnSim: A Similarity Measure for Determining Relatedness Between Ontology Terms
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    Chapter 7 AnnEvol: An Evolutionary Framework to Description Ontology-Based Annotations
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    Chapter 8 Terminology development towards harmonizing multiple clinical neuroimaging research repositories.
  10. Altmetric Badge
    Chapter 9 Creating Biomedical Ontologies Using mOntage
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    Chapter 10 Creation of Definitions for Ontologies: A Case Study in the Leukemia Domain
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    Chapter 11 Integration of Hematopoietic Cell Transplantation Outcomes Data
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    Chapter 12 ICD Code Retrieval: Novel Approach for Assisted Disease Classification
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    Chapter 13 Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury
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    Chapter 14 SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use
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    Chapter 15 Quality Control Considerations for the Effective Integration of Neuroimaging Data
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    Chapter 16 Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders
  18. Altmetric Badge
    Chapter 17 Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining
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    Chapter 18 Inference and Verification of Probabilistic Graphical Models from High-Dimensional Data
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    Chapter 19 SPIRIT-ML: A Machine Learning Platform for Deriving Knowledge from Biomedical Datasets
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    Chapter 20 Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene
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    Chapter 21 GAAIN Virtual Appliances: Virtual Machine Technology for Scientific Data Analysis
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    Chapter 22 The GAAIN Entity Mapper: Towards Practical Medical Informatics Application
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    Chapter 23 Efficient Management of Cached Data in the Global Alzheimer’s Association Interactive Network
  25. Altmetric Badge
    Chapter 24 Domain Specific Document Retrieval Framework for Real-Time Social Health Data
Attention for Chapter 17: Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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1 X user

Citations

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6 Mendeley
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Chapter title
Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining
Chapter number 17
Book title
Data Integration in the Life Sciences
Published in
Lecture notes in computer science, July 2015
DOI 10.1007/978-3-319-21843-4_17
Book ISBNs
978-3-31-921842-7, 978-3-31-921843-4
Authors

Hsuan Chiu, Daniella Meeker

Editors

Naveen Ashish, Jose-Luis Ambite

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor 1 17%
Other 1 17%
Student > Master 1 17%
Student > Ph. D. Student 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 2 33%
Medicine and Dentistry 2 33%
Chemistry 1 17%
Engineering 1 17%
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 13 October 2016.
All research outputs
#15,387,502
of 22,893,031 outputs
Outputs from Lecture notes in computer science
#4,649
of 8,129 outputs
Outputs of similar age
#153,507
of 262,431 outputs
Outputs of similar age from Lecture notes in computer science
#107
of 353 outputs
Altmetric has tracked 22,893,031 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 8,129 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 262,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 353 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.