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Dove Medical Press

Costs and clinical consequences of suboptimal atrial fibrillation management

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, March 2012
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Title
Costs and clinical consequences of suboptimal atrial fibrillation management
Published in
ClinicoEconomics and Outcomes Research: CEOR, March 2012
DOI 10.2147/ceor.s30090
Pubmed ID
Authors

Steven N Singh

Abstract

Atrial fibrillation (AF) places a considerable burden on the US health care system, society, and individual patients due to its associated morbidity, mortality, and reduced health-related quality of life. AF increases the risk of stroke, which often results in lengthy hospital stays, increased disability, and long-term care, all of which impact medical costs. An expected increase in the prevalence of AF and incidence of AF-related stroke underscores the need for optimal management of this disorder. Although AF treatment strategies have been proven effective in clinical trials, data show that patients still receive suboptimal treatment. Adherence to AF treatment guidelines will help to optimize treatment and reduce costs due to AF-associated events; new treatments for AF show promise for future reductions in disease and cost burden due to improved tolerability profiles. Additional research is necessary to compare treatment costs and outcomes of new versus existing agents; an immediate effort to optimize treatment based on existing evidence and guidelines is critical to reducing the burden of AF.

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The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
United Kingdom 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 7 16%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 8 18%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Economics, Econometrics and Finance 4 9%
Engineering 4 9%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 2 5%
Other 7 16%
Unknown 9 20%
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 26 March 2012.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#429
of 514 outputs
Outputs of similar age
#132,340
of 168,428 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#3
of 3 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 8th percentile – i.e., 8% 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 168,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.