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An Evaluation of the Data-Driven Model for Bubble Maximum Diameter in Subcooled Boiling Flow Using Artificial Neural Networks

Overview of attention for article published in Frontiers in Energy Research, August 2022
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Title
An Evaluation of the Data-Driven Model for Bubble Maximum Diameter in Subcooled Boiling Flow Using Artificial Neural Networks
Published in
Frontiers in Energy Research, August 2022
DOI 10.3389/fenrg.2022.903464
Authors

Xiaomeng Dong, Haoxian Chen, Changwei Li, Ming Yang, Yang Yu, Xi Huang

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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 19 September 2022.
All research outputs
#20,766,515
of 23,371,053 outputs
Outputs from Frontiers in Energy Research
#1,340
of 3,480 outputs
Outputs of similar age
#343,603
of 432,819 outputs
Outputs of similar age from Frontiers in Energy Research
#48
of 379 outputs
Altmetric has tracked 23,371,053 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 3,480 research outputs from this source. They receive a mean Attention Score of 1.7. 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 432,819 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 379 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.