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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the usage of health records for the design of virtual patients: a systematic review
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2013
|
| DOI | 10.1186/1472-6947-13-103 |
| Pubmed ID | |
| Authors |
Marcus D Bloice, Klaus-Martin Simonic, Andreas Holzinger |
| Abstract |
The process of creating and designing Virtual Patients for teaching students of medicine is an expensive and time-consuming task. In order to explore potential methods of mitigating these costs, our group began exploring the possibility of creating Virtual Patients based on electronic health records. This review assesses the usage of electronic health records in the creation of interactive Virtual Patients for teaching clinical decision-making. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 19% |
| Colombia | 2 | 10% |
| Argentina | 1 | 5% |
| India | 1 | 5% |
| South Africa | 1 | 5% |
| United Kingdom | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Unknown | 10 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Practitioners (doctors, other healthcare professionals) | 7 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 74 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 7 | 9% |
| Other | 5 | 6% |
| Other | 17 | 22% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 25% |
| Computer Science | 12 | 15% |
| Social Sciences | 7 | 9% |
| Nursing and Health Professions | 6 | 8% |
| Psychology | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 22 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 16 July 2016.
All research outputs
#2,173,465
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#123
of 2,030 outputs
Outputs of similar age
#19,318
of 200,389 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 45 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 200,389 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.