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Process Support and Knowledge Representation in Health Care

Overview of attention for book
Cover of 'Process Support and Knowledge Representation in Health Care'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge
  3. Altmetric Badge
    Chapter 2 Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure
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    Chapter 3 Knowledge-Driven Adaptive Execution of Care Pathways Based on Continuous Planning Techniques
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    Chapter 4 Towards a Realistic Clinical-Guidelines Application Framework: Desiderata, Applications, and Lessons Learned
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    Chapter 5 Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record
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    Chapter 6 Semantic Integration of Patient Data and Quality Indicators Based on openEHR Archetypes
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    Chapter 7 A Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships
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    Chapter 8 Distributed Ad Hoc Cooperation in Healthcare
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    Chapter 9 Embedding Conformance Checking in a Process Intelligence System in Hospital Environments
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    Chapter 10 Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions
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    Chapter 11 Flexible and Efficient Retrieval of Haemodialysis Time Series
  13. Altmetric Badge
    Chapter 12 An Approach for Representing and Managing Medical Exceptions in Care Pathways Based on Temporal Hierarchical Planning Techniques
Attention for Chapter 6: Semantic Integration of Patient Data and Quality Indicators Based on openEHR Archetypes
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
43 Mendeley
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Chapter title
Semantic Integration of Patient Data and Quality Indicators Based on openEHR Archetypes
Chapter number 6
Book title
Process Support and Knowledge Representation in Health Care
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-36438-9_6
Book ISBNs
978-3-64-236437-2, 978-3-64-236438-9
Authors

Nicolette de Keizer, Kathrin Dentler, Annette ten Teije, Ronald Cornet

Twitter Demographics

The data shown below were collected from the profiles of 9 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 5%
United States 1 2%
Australia 1 2%
Brazil 1 2%
Unknown 38 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 35%
Student > Master 8 19%
Researcher 5 12%
Student > Postgraduate 4 9%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 27 63%
Medicine and Dentistry 6 14%
Engineering 3 7%
Unspecified 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 4 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 March 2013.
All research outputs
#1,650,350
of 11,440,391 outputs
Outputs from Lecture notes in computer science
#687
of 7,171 outputs
Outputs of similar age
#54,141
of 312,430 outputs
Outputs of similar age from Lecture notes in computer science
#31
of 250 outputs
Altmetric has tracked 11,440,391 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,171 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% of its peers.
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 312,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.