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Future intensification of hydro-meteorological extremes: downscaling using the weather research and forecasting model

Overview of attention for article published in Climate Dynamics, February 2017
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Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

mendeley
31 Mendeley
Title
Future intensification of hydro-meteorological extremes: downscaling using the weather research and forecasting model
Published in
Climate Dynamics, February 2017
DOI 10.1007/s00382-017-3542-z
Authors

R. El-Samra, E. Bou-Zeid, H. K. Bangalath, G. Stenchikov, M. El-Fadel

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Bachelor 5 16%
Student > Doctoral Student 3 10%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Other 5 16%
Unknown 5 16%
Readers by discipline Count As %
Engineering 12 39%
Earth and Planetary Sciences 6 19%
Economics, Econometrics and Finance 2 6%
Environmental Science 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 7 23%
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 15 November 2017.
All research outputs
#20,451,991
of 23,007,887 outputs
Outputs from Climate Dynamics
#3,469
of 4,952 outputs
Outputs of similar age
#385,426
of 454,640 outputs
Outputs of similar age from Climate Dynamics
#81
of 103 outputs
Altmetric has tracked 23,007,887 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 4,952 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 454,640 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 103 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.