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How synergy between mechanistic and statistical models is impacting research in atrial fibrillation

Overview of attention for article published in Frontiers in Physiology, August 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
How synergy between mechanistic and statistical models is impacting research in atrial fibrillation
Published in
Frontiers in Physiology, August 2022
DOI 10.3389/fphys.2022.957604
Pubmed ID
Authors

Jieyun Bai, Yaosheng Lu, Huijin Wang, Jichao Zhao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 9%
Student > Doctoral Student 1 9%
Student > Master 1 9%
Unknown 8 73%
Readers by discipline Count As %
Unspecified 1 9%
Nursing and Health Professions 1 9%
Engineering 1 9%
Unknown 8 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 April 2024.
All research outputs
#6,723,581
of 25,754,670 outputs
Outputs from Frontiers in Physiology
#3,104
of 15,726 outputs
Outputs of similar age
#119,414
of 431,995 outputs
Outputs of similar age from Frontiers in Physiology
#94
of 782 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 15,726 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 80% 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 431,995 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 72% of its contemporaries.
We're also able to compare this research output to 782 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.