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Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts

Overview of attention for article published in Mathematical Geosciences, November 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#32 of 142)
  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
102 Mendeley
Title
Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts
Published in
Mathematical Geosciences, November 2017
DOI 10.1007/s11004-017-9709-7
Authors

Michaël Zamo, Philippe Naveau

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Researcher 18 18%
Student > Master 8 8%
Other 7 7%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 29 28%
Readers by discipline Count As %
Engineering 22 22%
Earth and Planetary Sciences 13 13%
Mathematics 8 8%
Environmental Science 6 6%
Computer Science 5 5%
Other 16 16%
Unknown 32 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 February 2022.
All research outputs
#7,602,582
of 23,179,757 outputs
Outputs from Mathematical Geosciences
#32
of 142 outputs
Outputs of similar age
#150,411
of 438,561 outputs
Outputs of similar age from Mathematical Geosciences
#1
of 2 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 44th percentile – i.e., 44% 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 438,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them