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Implementing wait-time reductions under Ontario government benchmarks (Pay-for-Results): a Cluster Randomized Trial of the Effect of a Physician-Nurse Supplementary Triage Assistance team (MDRNSTAT…

Overview of attention for article published in BMC Emergency Medicine, November 2013
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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3 X users

Citations

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46 Dimensions

Readers on

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184 Mendeley
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Title
Implementing wait-time reductions under Ontario government benchmarks (Pay-for-Results): a Cluster Randomized Trial of the Effect of a Physician-Nurse Supplementary Triage Assistance team (MDRNSTAT) on emergency department patient wait times
Published in
BMC Emergency Medicine, November 2013
DOI 10.1186/1471-227x-13-17
Pubmed ID
Authors

Ivy Cheng, Jacques Lee, Nicole Mittmann, Jeffrey Tyberg, Sharon Ramagnano, Alex Kiss, Michael Schull, Fergus Kerr, Merrick Zwarenstein

Abstract

Internationally, emergency departments are struggling with crowding and its associated morbidity, mortality, and decreased patient and health-care worker satisfaction. The objective was to evaluate the addition of a MDRNSTAT (Physician (MD)-Nurse (RN) Supplementary Team At Triage) on emergency department patient flow and quality of care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Australia 1 <1%
Italy 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 178 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 21%
Researcher 19 10%
Student > Bachelor 19 10%
Student > Ph. D. Student 16 9%
Student > Doctoral Student 15 8%
Other 40 22%
Unknown 37 20%
Readers by discipline Count As %
Medicine and Dentistry 65 35%
Nursing and Health Professions 31 17%
Psychology 9 5%
Business, Management and Accounting 8 4%
Social Sciences 7 4%
Other 20 11%
Unknown 44 24%
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 05 October 2022.
All research outputs
#7,722,978
of 23,482,849 outputs
Outputs from BMC Emergency Medicine
#339
of 777 outputs
Outputs of similar age
#71,711
of 214,728 outputs
Outputs of similar age from BMC Emergency Medicine
#5
of 11 outputs
Altmetric has tracked 23,482,849 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 777 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 54% 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 214,728 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 50% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.