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Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems

Overview of attention for article published in IEEE Transactions on Geoscience and Remote Sensing, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems
Published in
IEEE Transactions on Geoscience and Remote Sensing, January 2016
DOI 10.1109/tgrs.2015.2502956
Authors

Andrew Verdin, Chris Funk, Balaji Rajagopalan, William Kleiber

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 26%
Student > Ph. D. Student 11 18%
Student > Master 8 13%
Student > Doctoral Student 4 6%
Other 3 5%
Other 9 15%
Unknown 11 18%
Readers by discipline Count As %
Earth and Planetary Sciences 11 18%
Engineering 10 16%
Environmental Science 9 15%
Agricultural and Biological Sciences 3 5%
Computer Science 3 5%
Other 9 15%
Unknown 17 27%
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 01 March 2018.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Geoscience and Remote Sensing
#790
of 3,045 outputs
Outputs of similar age
#129,996
of 403,324 outputs
Outputs of similar age from IEEE Transactions on Geoscience and Remote Sensing
#3
of 29 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,045 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 27th percentile – i.e., 27% 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 403,324 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 53% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.