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Sensors prioritisation for hydrological forecasting based on interpretable machine learning

Overview of attention for article published in Journal of Hydrology, December 2025
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
14 Mendeley
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Article details
Title
Sensors prioritisation for hydrological forecasting based on interpretable machine learning
Published in
Journal of Hydrology, December 2025
DOI 10.1016/j.jhydrol.2025.134015
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 2 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 14 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 14 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 2 14%
Lecturer > Senior Lecturer 1 7%
Student > Bachelor 1 7%
Professor 1 7%
Student > Ph. D. Student 1 7%
Other 0 0%
Unknown 8 57%
Readers by discipline
Readers by discipline Count As %
Engineering 5 36%
Unknown 9 64%
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 08 September 2025.
All research outputs
#24,694,335
of 34,311,960 outputs
Outputs from Journal of Hydrology
#5,131
of 10,351 outputs
Outputs of similar age
#189,719
of 378,383 outputs
Outputs of similar age from Journal of Hydrology
#57
of 109 outputs
Altmetric has tracked 34,311,960 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,351 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 378,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.