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Editorial: Multi-physics and multi-scale modeling and simulation methods for nuclear reactor application

Overview of attention for article published in Frontiers in Energy Research, February 2024
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Title
Editorial: Multi-physics and multi-scale modeling and simulation methods for nuclear reactor application
Published in
Frontiers in Energy Research, February 2024
DOI 10.3389/fenrg.2024.1361541
Authors

Xingjie Peng, Shichang Liu, Qingming He, Jingang Liang, Jiankai Yu

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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 26 February 2024.
All research outputs
#22,753,129
of 25,367,237 outputs
Outputs from Frontiers in Energy Research
#1,538
of 4,576 outputs
Outputs of similar age
#133,047
of 164,879 outputs
Outputs of similar age from Frontiers in Energy Research
#42
of 193 outputs
Altmetric has tracked 25,367,237 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 4,576 research outputs from this source. They receive a mean Attention Score of 1.6. 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 164,879 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 193 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.