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Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model

Overview of attention for article published in Hydrological Processes, March 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
9 X users

Citations

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13 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model
Published in
Hydrological Processes, March 2020
DOI 10.1002/hyp.13735
Authors

Graham A. Sexstone, Jessica M. Driscoll, Lauren E. Hay, John C. Hammond, Theodore B. Barnhart

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Doctoral Student 5 18%
Student > Ph. D. Student 5 18%
Student > Master 3 11%
Professor > Associate Professor 2 7%
Other 1 4%
Unknown 6 21%
Readers by discipline Count As %
Environmental Science 12 43%
Engineering 4 14%
Earth and Planetary Sciences 4 14%
Chemical Engineering 1 4%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 March 2020.
All research outputs
#6,175,327
of 24,831,063 outputs
Outputs from Hydrological Processes
#492
of 2,058 outputs
Outputs of similar age
#107,876
of 367,613 outputs
Outputs of similar age from Hydrological Processes
#12
of 49 outputs
Altmetric has tracked 24,831,063 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,058 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 367,613 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 70% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.