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Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection

Overview of attention for article published in Hydrology & Earth System Sciences, November 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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8 X users

Citations

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42 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection
Published in
Hydrology & Earth System Sciences, November 2017
DOI 10.5194/hess-21-5443-2017
Authors

Sandra Pool, Marc J. P. Vis, Rodney R. Knight, Jan Seibert

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 24%
Student > Ph. D. Student 21 22%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Student > Bachelor 4 4%
Other 10 10%
Unknown 23 24%
Readers by discipline Count As %
Environmental Science 20 21%
Engineering 20 21%
Earth and Planetary Sciences 20 21%
Biochemistry, Genetics and Molecular Biology 2 2%
Agricultural and Biological Sciences 1 1%
Other 2 2%
Unknown 31 32%
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 07 November 2017.
All research outputs
#6,573,525
of 25,382,440 outputs
Outputs from Hydrology & Earth System Sciences
#806
of 3,236 outputs
Outputs of similar age
#99,979
of 342,377 outputs
Outputs of similar age from Hydrology & Earth System Sciences
#16
of 97 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 74% 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 342,377 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 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.