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A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed

Overview of attention for article published in Climate Dynamics, July 2017
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
52 Mendeley
Title
A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed
Published in
Climate Dynamics, July 2017
DOI 10.1007/s00382-017-3794-7
Authors

Louise J. Slater, Gabriele Villarini, A. Allen Bradley, Gabriel A. Vecchi

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 31%
Researcher 10 19%
Student > Doctoral Student 4 8%
Student > Postgraduate 2 4%
Student > Master 2 4%
Other 5 10%
Unknown 13 25%
Readers by discipline Count As %
Engineering 13 25%
Earth and Planetary Sciences 10 19%
Environmental Science 5 10%
Agricultural and Biological Sciences 1 2%
Unspecified 1 2%
Other 1 2%
Unknown 21 40%
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 16 November 2020.
All research outputs
#3,440,536
of 24,965,047 outputs
Outputs from Climate Dynamics
#1,326
of 5,258 outputs
Outputs of similar age
#59,011
of 317,652 outputs
Outputs of similar age from Climate Dynamics
#21
of 120 outputs
Altmetric has tracked 24,965,047 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 5,258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 74% 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 317,652 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.