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Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed

Overview of attention for article published in Frontiers in Earth Science, August 2019
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1 X user

Citations

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7 Dimensions

Readers on

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16 Mendeley
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Title
Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed
Published in
Frontiers in Earth Science, August 2019
DOI 10.3389/feart.2019.00210
Authors

Michael F. Christensen, Matthew J. Heaton, Summer Rupper, C. Shane Reese, William F. Christensen

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Other 2 13%
Lecturer > Senior Lecturer 1 6%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Mathematics 3 19%
Engineering 2 13%
Earth and Planetary Sciences 2 13%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 6%
Other 2 13%
Unknown 4 25%
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 14 August 2019.
All research outputs
#20,576,667
of 23,153,849 outputs
Outputs from Frontiers in Earth Science
#3,131
of 4,755 outputs
Outputs of similar age
#291,277
of 342,678 outputs
Outputs of similar age from Frontiers in Earth Science
#68
of 92 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,755 research outputs from this source. They receive a mean Attention Score of 4.8. 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 342,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.