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

Mentioned by

twitter
5 tweeters

Readers on

mendeley
10 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.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Master 3 30%
Unspecified 2 20%
Student > Postgraduate 1 10%
Other 1 10%
Other 0 0%
Readers by discipline Count As %
Environmental Science 3 30%
Engineering 3 30%
Unspecified 3 30%
Social Sciences 1 10%

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
#3,411,524
of 12,374,131 outputs
Outputs from US Geological Survey
#424
of 1,427 outputs
Outputs of similar age
#117,650
of 356,954 outputs
Outputs of similar age from US Geological Survey
#30
of 104 outputs
Altmetric has tracked 12,374,131 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 70% 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 356,954 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 104 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 71% of its contemporaries.