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Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction

Overview of attention for article published in Frontiers in Cardiovascular Medicine, July 2024
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Title
Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction
Published in
Frontiers in Cardiovascular Medicine, July 2024
DOI 10.3389/fcvm.2024.1350345
Pubmed ID
Authors

Naledi Lenah Adam, Grzegorz Kowalik, Andrew Tyler, Ronald Mooiweer, Alexander Paul Neofytou, Sarah McElroy, Karl Kunze, Peter Speier, Daniel Stäb, Radhouene Neji, Muhummad Sohaib Nazir, Reza Razavi, Amedeo Chiribiri, Sébastien Roujol

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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 17 July 2024.
All research outputs
#23,629,422
of 26,304,916 outputs
Outputs from Frontiers in Cardiovascular Medicine
#6,053
of 9,480 outputs
Outputs of similar age
#118,089
of 149,240 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#31
of 50 outputs
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So far Altmetric has tracked 9,480 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 50 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.