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Casebook: a virtual patient iPad application for teaching decision-making through the use of electronic health records

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
facebook
1 Facebook page

Citations

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10 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Casebook: a virtual patient iPad application for teaching decision-making through the use of electronic health records
Published in
BMC Medical Informatics and Decision Making, August 2014
DOI 10.1186/1472-6947-14-66
Pubmed ID
Authors

Marcus D Bloice, Klaus-Martin Simonic, Andreas Holzinger

Abstract

Virtual Patients are a well-known and widely used form of interactive software used to simulate aspects of patient care that students are increasingly less likely to encounter during their studies. However, to take full advantage of the benefits of using Virtual Patients, students should have access to multitudes of cases. In order to promote the creation of collections of cases, a tablet application was developed which makes use of electronic health records as material for Virtual Patient cases. Because electronic health records are abundantly available on hospital information systems, this results in much material for the basis of case creation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Austria 1 1%
Unknown 91 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 12%
Student > Bachelor 11 12%
Researcher 10 11%
Student > Ph. D. Student 10 11%
Student > Postgraduate 9 10%
Other 24 26%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 26 28%
Computer Science 10 11%
Nursing and Health Professions 6 6%
Social Sciences 5 5%
Engineering 4 4%
Other 15 16%
Unknown 27 29%
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 27 August 2014.
All research outputs
#13,178,008
of 22,759,618 outputs
Outputs from BMC Medical Informatics and Decision Making
#945
of 1,985 outputs
Outputs of similar age
#106,951
of 230,235 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 29 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 50% 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 230,235 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 52% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.