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A novel approach for quantitative electrogram analysis for driver identification: Implications for ablation in persistent atrial fibrillation

Overview of attention for article published in Frontiers in Cardiovascular Medicine, December 2022
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1 X user

Readers on

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5 Mendeley
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Title
A novel approach for quantitative electrogram analysis for driver identification: Implications for ablation in persistent atrial fibrillation
Published in
Frontiers in Cardiovascular Medicine, December 2022
DOI 10.3389/fcvm.2022.1049854
Pubmed ID
Authors

Wen-Rui Shi, Shao-Hui Wu, Guang-Chen Zou, Kai Xu, Wei-Feng Jiang, Yu Zhang, Mu Qin, Xu Liu

X Demographics

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Professor > Associate Professor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Unspecified 1 20%
Economics, Econometrics and Finance 1 20%
Engineering 1 20%
Unknown 2 40%
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 04 December 2022.
All research outputs
#20,675,093
of 23,269,984 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,438
of 7,165 outputs
Outputs of similar age
#348,856
of 441,383 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#493
of 847 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,165 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 441,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 847 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.