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Description of the National Hydrologic Model for use with the Precipitation-Runoff Modeling System (PRMS)

Overview of attention for article published in US Geological Survey, January 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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5 X users

Readers on

mendeley
43 Mendeley
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Title
Description of the National Hydrologic Model for use with the Precipitation-Runoff Modeling System (PRMS)
Published in
US Geological Survey, January 2018
DOI 10.3133/tm6b9
Authors

Regan, R. Steven, Markstrom, Steven L., Hay, Lauren E., Viger, Roland J., Norton, Parker A., Driscoll, Jessica M., LaFontaine, Jacob H.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 9 21%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Other 2 5%
Other 4 9%
Unknown 11 26%
Readers by discipline Count As %
Engineering 11 26%
Earth and Planetary Sciences 7 16%
Environmental Science 6 14%
Agricultural and Biological Sciences 4 9%
Social Sciences 1 2%
Other 0 0%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2018.
All research outputs
#7,206,944
of 23,015,156 outputs
Outputs from US Geological Survey
#576
of 2,159 outputs
Outputs of similar age
#145,673
of 442,344 outputs
Outputs of similar age from US Geological Survey
#85
of 242 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 73% 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 442,344 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 66% of its contemporaries.
We're also able to compare this research output to 242 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 64% of its contemporaries.