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Characterizing Sources of Uncertainty from Global Climate Models and Downscaling Techniques

Overview of attention for article published in Journal of Applied Meteorology & Climatology, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 671)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Characterizing Sources of Uncertainty from Global Climate Models and Downscaling Techniques
Published in
Journal of Applied Meteorology & Climatology, December 2017
DOI 10.1175/jamc-d-17-0087.1
Authors

A. Wootten, A. Terando, B. J. Reich, R. P. Boyles, F. Semazzi

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Doctoral Student 2 12%
Professor 2 12%
Student > Master 2 12%
Researcher 1 6%
Other 0 0%
Unknown 5 29%
Readers by discipline Count As %
Environmental Science 3 18%
Agricultural and Biological Sciences 2 12%
Engineering 2 12%
Earth and Planetary Sciences 2 12%
Immunology and Microbiology 1 6%
Other 1 6%
Unknown 6 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 14 November 2019.
All research outputs
#714,690
of 14,291,740 outputs
Outputs from Journal of Applied Meteorology & Climatology
#40
of 671 outputs
Outputs of similar age
#23,657
of 274,052 outputs
Outputs of similar age from Journal of Applied Meteorology & Climatology
#5
of 26 outputs
Altmetric has tracked 14,291,740 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 671 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 94% 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 274,052 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 91% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.