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Biomarkers and the prediction of atrial fibrillation: state of the art

Overview of attention for article published in Vascular Health and Risk Management, July 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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5 X users
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1 Facebook page

Citations

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21 Dimensions

Readers on

mendeley
74 Mendeley
Title
Biomarkers and the prediction of atrial fibrillation: state of the art
Published in
Vascular Health and Risk Management, July 2016
DOI 10.2147/vhrm.s75537
Pubmed ID
Authors

Wesley T O’Neal, Sanjay Venkatesh, Stephen T Broughton, William F Griffin, Elsayed Z Soliman

Abstract

Atrial fibrillation (AF) is the most common sustained arrhythmia encountered in clinical practice, and it places a substantial burden on the health care system. Despite improvements in our understanding of AF pathophysiology, we have yet to develop targeted preventive therapies. Recently, numerous biological markers have been identified to aid in the prediction of future AF events. Subclinical markers of atrial stress, inflammation, endothelial dysfunction, kidney dysfunction, and atherosclerosis have been linked to AF. The connection between these markers and AF is the identification of subclinical states in which AF propagation is likely to occur, as these conditions are associated with abnormal atrial remodeling and fibrosis. Additionally, several risk scores have been developed to aid in the identification of at-risk patients. The practicing clinician should be aware of these subclinical markers, as several of these markers improve the predictive abilities of current AF risk scores. Knowledge of these subclinical markers also provides clinicians with a better understanding of AF risk factors, and the opportunity to reduce the occurrence of AF by incorporating well-known cardiovascular disease risk factor modification strategies. In this review, we highlight several novel biological markers that have improved our understanding of AF pathophysiology and appraise the utility of these markers to improve our ability to predict future AF 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 11 15%
Researcher 9 12%
Student > Bachelor 8 11%
Student > Doctoral Student 5 7%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 33 45%
Biochemistry, Genetics and Molecular Biology 4 5%
Engineering 4 5%
Agricultural and Biological Sciences 2 3%
Computer Science 2 3%
Other 10 14%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 August 2016.
All research outputs
#8,343,963
of 25,584,565 outputs
Outputs from Vascular Health and Risk Management
#286
of 785 outputs
Outputs of similar age
#127,958
of 367,821 outputs
Outputs of similar age from Vascular Health and Risk Management
#3
of 11 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 785 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 62% 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 367,821 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 64% 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 done well, scoring higher than 81% of its contemporaries.