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Foundations of Biomedical Knowledge Representation

Overview of attention for book
Cover of 'Foundations of Biomedical Knowledge Representation'

Table of Contents

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    Book Overview
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    Chapter 1 How to Read the Book “Foundations of Biomedical Knowledge Representation”
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    Chapter 2 An Introduction to Knowledge Representation and Reasoning in Healthcare
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    Chapter 3 Representing Knowledge for Clinical Diagnostic Reasoning
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    Chapter 4 Automated Diagnosis of Breast Cancer on Medical Images
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    Chapter 5 Monitoring in the Healthcare Setting
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    Chapter 6 Conformance Verification of Clinical Guidelines in Presence of Computerized and Human-Enhanced Processes
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    Chapter 7 Modelling and Monitoring the Individual Patient in Real Time
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    Chapter 8 Personalised Medicine: Taking a New Look at the Patient
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    Chapter 9 Graphical Modelling in Genetics and Systems Biology
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    Chapter 10 Chain Graphs and Gene Networks
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    Chapter 11 Prediction and Prognosis of Health and Disease
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    Chapter 12 Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies
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    Chapter 13 Dynamic Bayesian Network for Cervical Cancer Screening
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    Chapter 14 Modeling Dynamic Processes with Memory by Higher Order Temporal Models
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    Chapter 15 Treatment of Disease: The Role of Knowledge Representation for Treatment Selection
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    Chapter 16 Predicting Adverse Drug Events from Electronic Medical Records
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    Chapter 17 User Modelling for Patient Tailored Virtual Rehabilitation
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    Chapter 18 Supporting Physicians and Patients Through Recommendation: Guidelines and Beyond
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    Chapter 19 A Hybrid Approach to the Verification of Computer Interpretable Guidelines
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    Chapter 20 Aggregation of Clinical Evidence Using Argumentation: A Tutorial Introduction
Overall attention for this book and its chapters
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Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

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25 Mendeley
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Title
Foundations of Biomedical Knowledge Representation
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-28007-3
ISBNs
978-3-31-928006-6, 978-3-31-928007-3
Editors

Arjen Hommersom, Peter J.F. Lucas

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Brazil 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Student > Ph. D. Student 4 16%
Student > Bachelor 2 8%
Researcher 2 8%
Other 1 4%
Other 3 12%
Unknown 7 28%
Readers by discipline Count As %
Computer Science 11 44%
Agricultural and Biological Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Medicine and Dentistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 9 36%
Attention Score in Context

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 15 February 2016.
All research outputs
#14,419,194
of 24,220,739 outputs
Outputs from Lecture notes in computer science
#4,063
of 8,180 outputs
Outputs of similar age
#181,874
of 361,371 outputs
Outputs of similar age from Lecture notes in computer science
#141
of 258 outputs
Altmetric has tracked 24,220,739 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 8,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 48th percentile – i.e., 48% 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 361,371 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.