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Improvements to Lake-Effect Snow Forecasts Using a One-Way Air–Lake Model Coupling Approach

Overview of attention for article published in Journal of Hydrometeorology, December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
13 Mendeley
Title
Improvements to Lake-Effect Snow Forecasts Using a One-Way Air–Lake Model Coupling Approach
Published in
Journal of Hydrometeorology, December 2020
DOI 10.1175/jhm-d-20-0079.1
Authors

Ayumi Fujisaki-Manome, Greg E. Mann, Eric J. Anderson, Philip Y. Chu, Lindsay E. Fitzpatrick, Stanley G. Benjamin, Eric P. James, Tatiana G. Smirnova, Curtis R. Alexander, David M. Wright

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Other 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Earth and Planetary Sciences 6 46%
Engineering 2 15%
Energy 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 01 December 2023.
All research outputs
#2,170,794
of 25,837,817 outputs
Outputs from Journal of Hydrometeorology
#70
of 1,155 outputs
Outputs of similar age
#57,907
of 529,126 outputs
Outputs of similar age from Journal of Hydrometeorology
#2
of 39 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 91% of its peers.
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 529,126 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.