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A Generative Tool for Building Health Applications Driven by ISO 13606 Archetypes

Overview of attention for article published in Journal of Medical Systems, October 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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4 Dimensions

Readers on

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34 Mendeley
Title
A Generative Tool for Building Health Applications Driven by ISO 13606 Archetypes
Published in
Journal of Medical Systems, October 2011
DOI 10.1007/s10916-011-9783-1
Pubmed ID
Authors

Marcos Menárguez-Tortosa, Catalina Martínez-Costa, Jesualdo Tomás Fernández-Breis

Abstract

The use of Electronic Healthcare Records (EHR) standards in the development of healthcare applications is crucial for achieving the semantic interoperability of clinical information. Advanced EHR standards make use of the dual model architecture, which provides a solution for clinical interoperability based on the separation of the information and knowledge. However, the impact of such standards is biased by the limited availability of tools that facilitate their usage and practical implementation. In this paper, we present an approach for the automatic generation of clinical applications for the ISO 13606 EHR standard, which is based on the dual model architecture. This generator has been generically designed, so it can be easily adapted to other dual model standards and can generate applications for multiple technological platforms. Such good properties are based on the combination of standards for the representation of generic user interfaces and model-driven engineering techniques.

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

Geographical breakdown

Country Count As %
Brazil 3 9%
United States 2 6%
Sweden 1 3%
Spain 1 3%
Unknown 27 79%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Ph. D. Student 6 18%
Student > Doctoral Student 3 9%
Researcher 3 9%
Student > Postgraduate 3 9%
Other 7 21%
Unknown 5 15%
Readers by discipline Count As %
Computer Science 17 50%
Engineering 3 9%
Social Sciences 2 6%
Medicine and Dentistry 2 6%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 August 2019.
All research outputs
#6,170,339
of 24,527,858 outputs
Outputs from Journal of Medical Systems
#213
of 1,223 outputs
Outputs of similar age
#34,903
of 136,610 outputs
Outputs of similar age from Journal of Medical Systems
#5
of 10 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,223 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 82% 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 136,610 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 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.