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Integration of tools for binding archetypes to SNOMED CT

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2008
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1 tweeter

Citations

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26 Dimensions

Readers on

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74 Mendeley
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5 CiteULike
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Title
Integration of tools for binding archetypes to SNOMED CT
Published in
BMC Medical Informatics and Decision Making, October 2008
DOI 10.1186/1472-6947-8-s1-s7
Pubmed ID
Authors

Erik Sundvall, Rahil Qamar, Mikael Nyström, Mattias Forss, Håkan Petersson, Daniel Karlsson, Hans Åhlfeldt, Alan Rector

Abstract

The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO standard for specifying models of components of electronic healthcare records as a means of achieving interoperability between clinical systems. This paper presents an archetype editor with support for manual or semi-automatic creation of bindings between archetypes and terminology systems.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Netherlands 3 4%
Germany 1 1%
Ireland 1 1%
Italy 1 1%
Turkey 1 1%
Sweden 1 1%
Brazil 1 1%
Belgium 1 1%
Other 1 1%
Unknown 60 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 22%
Student > Ph. D. Student 14 19%
Student > Master 14 19%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 16 22%
Unknown 4 5%
Readers by discipline Count As %
Computer Science 41 55%
Medicine and Dentistry 10 14%
Engineering 6 8%
Agricultural and Biological Sciences 3 4%
Linguistics 2 3%
Other 7 9%
Unknown 5 7%

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 21 June 2014.
All research outputs
#3,058,373
of 4,507,509 outputs
Outputs from BMC Medical Informatics and Decision Making
#626
of 754 outputs
Outputs of similar age
#72,268
of 107,986 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 30 outputs
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So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.