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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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
47 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

Twitter Demographics

The data shown below were collected from the profiles of 7 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 10 21%
Student > Master 7 15%
Unspecified 5 11%
Student > Doctoral Student 4 9%
Other 8 17%
Readers by discipline Count As %
Environmental Science 12 26%
Earth and Planetary Sciences 12 26%
Unspecified 11 23%
Engineering 11 23%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#2,991,249
of 12,556,490 outputs
Outputs from Hydrology & Earth System Sciences
#406
of 2,425 outputs
Outputs of similar age
#88,641
of 313,969 outputs
Outputs of similar age from Hydrology & Earth System Sciences
#18
of 176 outputs
Altmetric has tracked 12,556,490 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 2,425 research outputs from this source. They receive a mean Attention Score of 3.7. 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 313,969 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 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.