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Primary care management for optimized antithrombotic treatment [PICANT]: study protocol for a cluster-randomized controlled trial

Overview of attention for article published in Implementation Science, August 2012
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Mentioned by

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5 X users

Citations

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14 Dimensions

Readers on

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87 Mendeley
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Title
Primary care management for optimized antithrombotic treatment [PICANT]: study protocol for a cluster-randomized controlled trial
Published in
Implementation Science, August 2012
DOI 10.1186/1748-5908-7-79
Pubmed ID
Authors

Andrea Siebenhofer, Lisa R Ulrich, Karola Mergenthal, Ina Roehl, Sandra Rauck, Andrea Berghold, Sebastian Harder, Ferdinand M Gerlach, Juliana J Petersen

Abstract

Antithrombotic treatment is a continuous therapy that is often performed in general practice and requires careful safety management. The aim of this study is to investigate whether a best-practice model that applies major elements of case management and patient education, can improve antithrombotic management in primary healthcare in terms of reducing major thromboembolic and bleeding events.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Master 15 17%
Student > Bachelor 9 10%
Librarian 7 8%
Student > Doctoral Student 7 8%
Other 17 20%
Unknown 15 17%
Readers by discipline Count As %
Medicine and Dentistry 28 32%
Nursing and Health Professions 10 11%
Psychology 9 10%
Social Sciences 5 6%
Agricultural and Biological Sciences 2 2%
Other 15 17%
Unknown 18 21%
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 17 December 2012.
All research outputs
#12,859,601
of 22,675,759 outputs
Outputs from Implementation Science
#1,330
of 1,718 outputs
Outputs of similar age
#90,470
of 170,196 outputs
Outputs of similar age from Implementation Science
#19
of 32 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,718 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 20th percentile – i.e., 20% 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 170,196 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.