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Soil temperature prediction based on explainable artificial intelligence and LSTM

Overview of attention for article published in Frontiers in Environmental Science, July 2024
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Title
Soil temperature prediction based on explainable artificial intelligence and LSTM
Published in
Frontiers in Environmental Science, July 2024
DOI 10.3389/fenvs.2024.1426942
Authors

Qingtian Geng, Leilei Wang, Qingliang Li

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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 31 July 2024.
All research outputs
#21,503,767
of 26,396,170 outputs
Outputs from Frontiers in Environmental Science
#1,887
of 4,931 outputs
Outputs of similar age
#85,947
of 135,246 outputs
Outputs of similar age from Frontiers in Environmental Science
#22
of 79 outputs
Altmetric has tracked 26,396,170 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,931 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 42nd percentile – i.e., 42% 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 135,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.