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Evaluating Operational Hydrodynamic Models for Real‐time Simulation of Evaporation From Large Lakes

Overview of attention for article published in Geophysical Research Letters, March 2019
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1 X user

Citations

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Readers on

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38 Mendeley
Title
Evaluating Operational Hydrodynamic Models for Real‐time Simulation of Evaporation From Large Lakes
Published in
Geophysical Research Letters, March 2019
DOI 10.1029/2019gl082289
Authors

A. D. Gronewold, E. J. Anderson, J. Smith

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 7 18%
Student > Master 4 11%
Other 3 8%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 9 24%
Readers by discipline Count As %
Environmental Science 9 24%
Earth and Planetary Sciences 6 16%
Engineering 5 13%
Computer Science 2 5%
Unspecified 2 5%
Other 4 11%
Unknown 10 26%
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 15 April 2019.
All research outputs
#20,559,323
of 23,133,982 outputs
Outputs from Geophysical Research Letters
#16,343
of 19,728 outputs
Outputs of similar age
#302,280
of 351,502 outputs
Outputs of similar age from Geophysical Research Letters
#251
of 341 outputs
Altmetric has tracked 23,133,982 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 19,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. 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 351,502 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 341 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.