↓ Skip to main content

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

Overview of attention for article published in Hydrological Processes, March 2020
Altmetric Badge

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 (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
10 tweeters

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Doctoral Student 3 27%
Student > Ph. D. Student 2 18%
Other 1 9%
Student > Master 1 9%
Other 1 9%
Readers by discipline Count As %
Environmental Science 6 55%
Engineering 2 18%
Earth and Planetary Sciences 1 9%
Chemical Engineering 1 9%
Unknown 1 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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
#3,478,379
of 17,379,776 outputs
Outputs from Hydrological Processes
#258
of 1,599 outputs
Outputs of similar age
#76,596
of 269,903 outputs
Outputs of similar age from Hydrological Processes
#20
of 64 outputs
Altmetric has tracked 17,379,776 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,599 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 83% 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 269,903 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 71% of its contemporaries.
We're also able to compare this research output to 64 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 70% of its contemporaries.