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Supporting Treatment decision making to Optimise the Prevention of STROKE in Atrial Fibrillation: The STOP STROKE in AF study. Protocol for a cluster randomised controlled trial

Overview of attention for article published in Implementation Science, July 2012
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Title
Supporting Treatment decision making to Optimise the Prevention of STROKE in Atrial Fibrillation: The STOP STROKE in AF study. Protocol for a cluster randomised controlled trial
Published in
Implementation Science, July 2012
DOI 10.1186/1748-5908-7-63
Pubmed ID
Authors

Melina Gattellari, John M Worthington, Dominic Y Leung, Nicholas Zwar

Abstract

Suboptimal uptake of anticoagulation for stroke prevention in atrial fibrillation has persisted for over 20 years, despite high-level evidence demonstrating its effectiveness in reducing the risk of fatal and disabling stroke.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
United Kingdom 1 1%
Canada 1 1%
Slovenia 1 1%
Spain 1 1%
United States 1 1%
Unknown 63 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 22%
Researcher 10 14%
Student > Ph. D. Student 4 6%
Other 3 4%
Student > Doctoral Student 3 4%
Other 17 25%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 26 38%
Nursing and Health Professions 5 7%
Social Sciences 4 6%
Psychology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 9 13%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 July 2012.
All research outputs
#15,246,403
of 22,669,724 outputs
Outputs from Implementation Science
#1,550
of 1,717 outputs
Outputs of similar age
#104,897
of 164,297 outputs
Outputs of similar age from Implementation Science
#27
of 29 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 5th percentile – i.e., 5% 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 164,297 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.