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A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns

Overview of attention for article published in Frontiers in Earth Science, June 2024
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Title
A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns
Published in
Frontiers in Earth Science, June 2024
DOI 10.3389/feart.2024.1393260
Authors

Justine Berg, Dylan Reynolds, Louis Quéno, Tobias Jonas, Michael Lehning, Rebecca Mott

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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 05 June 2024.
All research outputs
#23,407,950
of 26,078,244 outputs
Outputs from Frontiers in Earth Science
#3,852
of 6,274 outputs
Outputs of similar age
#119,017
of 149,214 outputs
Outputs of similar age from Frontiers in Earth Science
#12
of 20 outputs
Altmetric has tracked 26,078,244 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 6,274 research outputs from this source. They receive a mean Attention Score of 4.8. 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 149,214 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 20 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.