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A novel murine model of atrial fibrillation by diphtheria toxin-induced injury

Overview of attention for article published in Frontiers in Physiology, October 2022
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2 Mendeley
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Title
A novel murine model of atrial fibrillation by diphtheria toxin-induced injury
Published in
Frontiers in Physiology, October 2022
DOI 10.3389/fphys.2022.977735
Pubmed ID
Authors

Theresa Trieu, Philbert Mach, Kaitlyn Bunn, Vincent Huang, Jamie Huang, Christine Chow, Haruko Nakano, Viviana M. Fajardo, Marlin Touma, Shuxun Ren, Yibin Wang, Atsushi Nakano

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%
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 31 October 2022.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Frontiers in Physiology
#9,478
of 13,760 outputs
Outputs of similar age
#349,007
of 439,572 outputs
Outputs of similar age from Frontiers in Physiology
#421
of 705 outputs
Altmetric has tracked 23,009,818 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 13,760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 439,572 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 705 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.