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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparison of Virtual Patient Simulation With Mannequin-Based Simulation for Improving Clinical Performances in Assessing and Managing Clinical Deterioration: Randomized Controlled Trial
|
---|---|
Published in |
Journal of Medical Internet Research, September 2014
|
DOI | 10.2196/jmir.3322 |
Pubmed ID | |
Authors |
Sok Ying Liaw, Sally Wai-Chi Chan, Fun-Gee Chen, Shing Chuan Hooi, Chiang Siau |
Abstract |
Virtual patient simulation has grown substantially in health care education. A virtual patient simulation was developed as a refresher training course to reinforce nursing clinical performance in assessing and managing deteriorating patients. |
X Demographics
The data shown below were collected from the profiles of 25 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 Kingdom | 14 | 56% |
United States | 2 | 8% |
Spain | 1 | 4% |
Unknown | 8 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 56% |
Practitioners (doctors, other healthcare professionals) | 10 | 40% |
Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Ireland | 1 | <1% |
Unknown | 220 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 15% |
Researcher | 20 | 9% |
Student > Ph. D. Student | 16 | 7% |
Student > Doctoral Student | 16 | 7% |
Student > Bachelor | 16 | 7% |
Other | 47 | 21% |
Unknown | 73 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 50 | 23% |
Medicine and Dentistry | 39 | 18% |
Social Sciences | 17 | 8% |
Psychology | 13 | 6% |
Computer Science | 10 | 5% |
Other | 16 | 7% |
Unknown | 77 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 19 May 2015.
All research outputs
#2,112,199
of 25,371,288 outputs
Outputs from Journal of Medical Internet Research
#1,767
of 7,864 outputs
Outputs of similar age
#22,390
of 259,956 outputs
Outputs of similar age from Journal of Medical Internet Research
#26
of 61 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has done well, scoring higher than 77% 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 259,956 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 91% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.