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Applying representational state transfer (REST) architecture to archetype-based electronic health record systems

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2013
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
13 X users
patent
1 patent

Citations

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24 Dimensions

Readers on

mendeley
111 Mendeley
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1 CiteULike
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Title
Applying representational state transfer (REST) architecture to archetype-based electronic health record systems
Published in
BMC Medical Informatics and Decision Making, May 2013
DOI 10.1186/1472-6947-13-57
Pubmed ID
Authors

Erik Sundvall, Mikael Nyström, Daniel Karlsson, Martin Eneling, Rong Chen, Håkan Örman

Abstract

The openEHR project and the closely related ISO 13606 standard have defined structures supporting the content of Electronic Health Records (EHRs). However, there is not yet any finalized openEHR specification of a service interface to aid application developers in creating, accessing, and storing the EHR content.The aim of this paper is to explore how the Representational State Transfer (REST) architectural style can be used as a basis for a platform-independent, HTTP-based openEHR service interface. Associated benefits and tradeoffs of such a design are also explored.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 3%
Portugal 1 <1%
Italy 1 <1%
Austria 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 102 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 24%
Student > Ph. D. Student 18 16%
Researcher 14 13%
Student > Bachelor 13 12%
Student > Postgraduate 9 8%
Other 14 13%
Unknown 16 14%
Readers by discipline Count As %
Computer Science 57 51%
Medicine and Dentistry 11 10%
Engineering 7 6%
Social Sciences 5 5%
Agricultural and Biological Sciences 3 3%
Other 9 8%
Unknown 19 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 December 2023.
All research outputs
#2,919,939
of 25,177,382 outputs
Outputs from BMC Medical Informatics and Decision Making
#203
of 2,133 outputs
Outputs of similar age
#23,539
of 198,566 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 32 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,133 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 198,566 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 88% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.