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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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Mentioned by

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1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
23 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Master 5 22%
Student > Ph. D. Student 4 17%
Other 2 9%
Student > Bachelor 1 4%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Environmental Science 9 39%
Engineering 5 22%
Computer Science 2 9%
Earth and Planetary Sciences 2 9%
Neuroscience 1 4%
Other 0 0%
Unknown 4 17%

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
#12,902,002
of 14,634,562 outputs
Outputs from Geophysical Research Letters
#10,933
of 14,178 outputs
Outputs of similar age
#223,360
of 264,096 outputs
Outputs of similar age from Geophysical Research Letters
#262
of 365 outputs
Altmetric has tracked 14,634,562 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 14,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. 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 264,096 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 365 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.