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Ontological specification of quality of chronic disease data in EHRs to support decision analytics: a realist review

Overview of attention for article published in Decision Analytics, February 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 Google+ user

Citations

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11 Dimensions

Readers on

mendeley
36 Mendeley
Title
Ontological specification of quality of chronic disease data in EHRs to support decision analytics: a realist review
Published in
Decision Analytics, February 2014
DOI 10.1186/2193-8636-1-5
Authors

Alireza Rahimi, Siaw-Teng Liaw, Pradeep Ray, Jane Taggart, Hairong Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Bachelor 6 17%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Researcher 3 8%
Other 4 11%
Unknown 7 19%
Readers by discipline Count As %
Computer Science 12 33%
Engineering 3 8%
Medicine and Dentistry 3 8%
Nursing and Health Professions 2 6%
Decision Sciences 2 6%
Other 6 17%
Unknown 8 22%
Attention Score in Context

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 February 2014.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from Decision Analytics
#12
of 17 outputs
Outputs of similar age
#134,150
of 224,203 outputs
Outputs of similar age from Decision Analytics
#4
of 7 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 5 of them.
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 224,203 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.