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Fire behavior simulation of Xintian forest fire in 2022 using WRF-fire model

Overview of attention for article published in Frontiers in Forests and Global Change, August 2024
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Title
Fire behavior simulation of Xintian forest fire in 2022 using WRF-fire model
Published in
Frontiers in Forests and Global Change, August 2024
DOI 10.3389/ffgc.2024.1336716
Authors

Hongmei Hu, Xiangwen Deng, Gui Zhang, Lanbo Feng, Jun Long, Ziming Li, Yu Zhu, Yiying Wang

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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 07 August 2024.
All research outputs
#23,745,971
of 26,430,863 outputs
Outputs from Frontiers in Forests and Global Change
#757
of 1,242 outputs
Outputs of similar age
#103,981
of 134,685 outputs
Outputs of similar age from Frontiers in Forests and Global Change
#11
of 21 outputs
Altmetric has tracked 26,430,863 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 1,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. 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 134,685 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 21 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.