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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
guideline
1 clinical guideline source

Readers on

mendeley
200 Mendeley
citeulike
1 CiteULike
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Article details
Title
Integrating electronic health record information to support integrated care: Practical application of ontologies to improve the accuracy of diabetes disease registers
Published in
Journal of Biomedical Informatics, August 2014
DOI 10.1016/j.jbi.2014.07.016
Pubmed ID
Authors
Abstract

Information in Electronic Health Records (EHRs) are being promoted for use in clinical decision support, patient registers, measurement and improvement of integration and quality of care, and translational research. To do this EHR-derived data product creators need to logically integrate patient data with information and knowledge from diverse sources and contexts.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 1%
Brazil 2 1%
United States 1 <1%
Portugal 1 <1%
Pakistan 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
Unknown 191 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 37 19%
Student > Master 28 14%
Researcher 24 12%
Student > Bachelor 19 10%
Student > Postgraduate 14 7%
Other 35 18%
Unknown 43 22%
Readers by discipline
Readers by discipline Count As %
Computer Science 50 25%
Medicine and Dentistry 38 19%
Nursing and Health Professions 13 7%
Social Sciences 10 5%
Engineering 5 3%
Other 32 16%
Unknown 52 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 April 2020.
All research outputs
#11,258,903
of 34,457,357 outputs
Outputs from Journal of Biomedical Informatics
#824
of 2,281 outputs
Outputs of similar age
#88,224
of 271,975 outputs
Outputs of similar age from Journal of Biomedical Informatics
#8
of 30 outputs
Altmetric has tracked 34,457,357 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 63% 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 271,975 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 67% of its contemporaries.
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 has gotten more attention than average, scoring higher than 73% of its contemporaries.