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Graphical representation of quality indicators based on medical service ontology

Overview of attention for article published in SpringerPlus, June 2013
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Mentioned by

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1 Facebook page
googleplus
1 Google+ user

Citations

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1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Graphical representation of quality indicators based on medical service ontology
Published in
SpringerPlus, June 2013
DOI 10.1186/2193-1801-2-274
Pubmed ID
Authors

Osamu Takaki, Izumi Takeuti, Koichi Takahashi, Noriaki Izumi, Koichiro Murata, Mitsuru Ikeda, Koiti Hasida

Abstract

For recent years, it has grown importance to evaluate medical service qualities of medical staffs and/or hospitals by using quality indicators. This paper introduces a representation system QI-RS of quality indicators. By using QI-RS, one can define quality indicators that satisfy understandability and formality, where "understandability" means that one can understand the calculation formula of a quality indicator easily and correctly, while "formality" means that the formula can be calculated to obtain the values of the indicator based on databases in a coherent manner.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Professor > Associate Professor 1 8%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Computer Science 1 8%
Social Sciences 1 8%
Psychology 1 8%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 June 2013.
All research outputs
#14,754,618
of 22,712,476 outputs
Outputs from SpringerPlus
#834
of 1,852 outputs
Outputs of similar age
#117,241
of 196,666 outputs
Outputs of similar age from SpringerPlus
#38
of 77 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 196,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.