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Assessing spatial transferability of a random forest metamodel for predicting drainage fraction

Overview of attention for article published in Journal of Hydrology, September 2022
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Assessing spatial transferability of a random forest metamodel for predicting drainage fraction
Published in
Journal of Hydrology, September 2022
DOI 10.1016/j.jhydrol.2022.128177
Authors

Elisa Bjerre, Michael N. Fienen, Raphael Schneider, Julian Koch, Anker L. Højberg

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 29%
Researcher 2 29%
Student > Ph. D. Student 1 14%
Unknown 2 29%
Readers by discipline Count As %
Environmental Science 2 29%
Arts and Humanities 1 14%
Earth and Planetary Sciences 1 14%
Unknown 3 43%

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 17 July 2022.
All research outputs
#19,415,391
of 21,814,108 outputs
Outputs from Journal of Hydrology
#3,578
of 7,261 outputs
Outputs of similar age
#240,000
of 297,724 outputs
Outputs of similar age from Journal of Hydrology
#87
of 303 outputs
Altmetric has tracked 21,814,108 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 7,261 research outputs from this source. They receive a mean Attention Score of 2.7. 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 297,724 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 303 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.