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The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields

Overview of attention for article published in Journal of Hydrometeorology, February 2004
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
206 Mendeley
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Title
The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields
Published in
Journal of Hydrometeorology, February 2004
DOI 10.1175/1525-7541(2004)005<0243:tssamf>2.0.co;2
Authors

Martyn Clark, Subhrendu Gangopadhyay, Lauren Hay, Balaji Rajagopalan, Robert Wilby

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 2 <1%
Italy 2 <1%
Netherlands 1 <1%
Canada 1 <1%
Austria 1 <1%
Unknown 196 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 29%
Researcher 47 23%
Student > Master 18 9%
Other 12 6%
Student > Doctoral Student 9 4%
Other 33 16%
Unknown 28 14%
Readers by discipline Count As %
Earth and Planetary Sciences 56 27%
Engineering 52 25%
Environmental Science 28 14%
Mathematics 9 4%
Computer Science 8 4%
Other 15 7%
Unknown 38 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 May 2023.
All research outputs
#3,089,046
of 23,668,780 outputs
Outputs from Journal of Hydrometeorology
#128
of 1,049 outputs
Outputs of similar age
#8,312
of 135,966 outputs
Outputs of similar age from Journal of Hydrometeorology
#2
of 10 outputs
Altmetric has tracked 23,668,780 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,049 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 87% of its peers.
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 135,966 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.