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A typology of simulators for medical education

Overview of attention for article published in Journal of Digital Imaging, August 1997
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Title
A typology of simulators for medical education
Published in
Journal of Digital Imaging, August 1997
DOI 10.1007/bf03168699
Pubmed ID
Authors

Gary Meller

Abstract

The growth of simulation technology has brought about rapid innovation in medical education systems. The task of developing and programming these systems is complex. To simplify the process, we developed a typology of medical simulators which allows critical elements to be identified and characterized. The analysis identifies the patients, the procedure, the physician, and the professor as essential elements in any medical education simulator. The level of interactivity of these elements determines the "realism" of the simulator. The development of a fully interactive simulator for ultrasound education will be presented.

Mendeley readers

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 %
Germany 1 1%
Switzerland 1 1%
France 1 1%
Sweden 1 1%
Canada 1 1%
New Zealand 1 1%
United States 1 1%
Unknown 67 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 12%
Student > Master 9 12%
Researcher 8 11%
Student > Bachelor 7 9%
Lecturer 6 8%
Other 21 28%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 31 42%
Engineering 6 8%
Computer Science 5 7%
Social Sciences 4 5%
Nursing and Health Professions 4 5%
Other 8 11%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 March 2019.
All research outputs
#7,586,641
of 23,133,982 outputs
Outputs from Journal of Digital Imaging
#346
of 1,070 outputs
Outputs of similar age
#9,368
of 29,519 outputs
Outputs of similar age from Journal of Digital Imaging
#3
of 14 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,070 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 45th percentile – i.e., 45% 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 29,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.