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Regional event-based flood quantile estimation method for large climate projection ensembles

Overview of attention for article published in Progress in Earth and Planetary Science, March 2024
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user
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1 Facebook page

Readers on

mendeley
3 Mendeley
Title
Regional event-based flood quantile estimation method for large climate projection ensembles
Published in
Progress in Earth and Planetary Science, March 2024
DOI 10.1186/s40645-024-00618-x
Authors

Jiachao Chen, Takahiro Sayama, Masafumi Yamada, Yoshito Sugawara

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%
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 26 March 2024.
All research outputs
#20,095,662
of 25,563,770 outputs
Outputs from Progress in Earth and Planetary Science
#475
of 596 outputs
Outputs of similar age
#95,147
of 152,831 outputs
Outputs of similar age from Progress in Earth and Planetary Science
#9
of 12 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 596 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. 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 152,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.