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Non-Contact Intracardiac Potential Mapping Using Mesh-Based and Meshless Inverse Solvers

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

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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4 Mendeley
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Title
Non-Contact Intracardiac Potential Mapping Using Mesh-Based and Meshless Inverse Solvers
Published in
Frontiers in Physiology, July 2022
DOI 10.3389/fphys.2022.873630
Pubmed ID
Authors

Shu Meng, Judit Chamorro-Servent, Nicholas Sunderland, Jichao Zhao, Laura R. Bear, Nigel A. Lever, Gregory B. Sands, Ian J. LeGrice, Anne M. Gillis, David M. Budgett, Bruce H. Smaill

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Chemical Engineering 1 25%
Unknown 3 75%
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 19 August 2022.
All research outputs
#7,246,653
of 23,130,383 outputs
Outputs from Frontiers in Physiology
#3,459
of 13,884 outputs
Outputs of similar age
#136,537
of 436,181 outputs
Outputs of similar age from Frontiers in Physiology
#113
of 657 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 13,884 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 74% 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 436,181 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 68% of its contemporaries.
We're also able to compare this research output to 657 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.