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Streamflow Reconstruction in the Upper Missouri River Basin Using a Novel Bayesian Network Model

Overview of attention for article published in Water Resources Research, September 2019
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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)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
10 tweeters

Readers on

mendeley
21 Mendeley
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Title
Streamflow Reconstruction in the Upper Missouri River Basin Using a Novel Bayesian Network Model
Published in
Water Resources Research, September 2019
DOI 10.1029/2019wr024901
Authors

Arun Ravindranath, Naresh Devineni, Upmanu Lall, Edward R. Cook, Greg Pederson, Justin Martin, Connie Woodhouse

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 43%
Researcher 5 24%
Student > Master 2 10%
Other 1 5%
Professor 1 5%
Other 2 10%
Unknown 1 5%
Readers by discipline Count As %
Engineering 7 33%
Earth and Planetary Sciences 5 24%
Environmental Science 3 14%
Energy 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 10%
Unknown 2 10%

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 16 October 2019.
All research outputs
#3,633,547
of 15,375,002 outputs
Outputs from Water Resources Research
#855
of 3,624 outputs
Outputs of similar age
#76,433
of 260,837 outputs
Outputs of similar age from Water Resources Research
#34
of 75 outputs
Altmetric has tracked 15,375,002 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,624 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 done well, scoring higher than 76% 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 260,837 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 75 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 54% of its contemporaries.