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Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa

Overview of attention for article published in Environmental Modelling & Software, September 2020
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3 X users

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mendeley
132 Mendeley
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Article details
Title
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa
Published in
Environmental Modelling & Software, September 2020
DOI 10.1016/j.envsoft.2020.104761
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 21%
Student > Master 16 12%
Researcher 10 8%
Student > Doctoral Student 6 5%
Other 4 3%
Other 18 14%
Unknown 50 38%
Readers by discipline
Readers by discipline Count As %
Engineering 29 22%
Computer Science 10 8%
Environmental Science 10 8%
Earth and Planetary Sciences 9 7%
Agricultural and Biological Sciences 4 3%
Other 10 8%
Unknown 60 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2020.
All research outputs
#21,106,775
of 32,530,420 outputs
Outputs from Environmental Modelling & Software
#1,289
of 1,836 outputs
Outputs of similar age
#256,017
of 443,560 outputs
Outputs of similar age from Environmental Modelling & Software
#19
of 29 outputs
Altmetric has tracked 32,530,420 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,836 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 27th percentile – i.e., 27% 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 443,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.