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How Climate Extremes Influence Conceptual Rainfall-Runoff Model Performance and Uncertainty

Overview of attention for article published in Frontiers in Climate, June 2022
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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14 Mendeley
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Title
How Climate Extremes Influence Conceptual Rainfall-Runoff Model Performance and Uncertainty
Published in
Frontiers in Climate, June 2022
DOI 10.3389/fclim.2022.859303
Authors

Andrew Watson, Guy Midgley, Patrick Ray, Sven Kralisch, Jörg Helmschrot

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 14%
Student > Master 2 14%
Professor 1 7%
Other 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Engineering 3 21%
Environmental Science 2 14%
Earth and Planetary Sciences 2 14%
Agricultural and Biological Sciences 1 7%
Unknown 6 43%
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 14 July 2022.
All research outputs
#22,452,273
of 25,047,899 outputs
Outputs from Frontiers in Climate
#395
of 430 outputs
Outputs of similar age
#367,824
of 434,385 outputs
Outputs of similar age from Frontiers in Climate
#45
of 47 outputs
Altmetric has tracked 25,047,899 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 430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. 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 434,385 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 47 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.