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Optimization of decision rules for hydroelectric operation to reduce both eel mortality and unnecessary turbine shutdown: A search for a win-win solution

Overview of attention for article published in River Research & Applications, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Optimization of decision rules for hydroelectric operation to reduce both eel mortality and unnecessary turbine shutdown: A search for a win-win solution
Published in
River Research & Applications, July 2017
DOI 10.1002/rra.3182
Authors

D. R. Smith, P. L. Fackler, S. M. Eyler, L. Villegas Ortiz, S. A. Welsh

Twitter Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Master 3 20%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Unknown 4 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Environmental Science 3 20%
Earth and Planetary Sciences 1 7%
Energy 1 7%
Engineering 1 7%
Other 0 0%
Unknown 5 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 October 2017.
All research outputs
#6,394,099
of 12,193,378 outputs
Outputs from River Research & Applications
#177
of 511 outputs
Outputs of similar age
#106,940
of 266,685 outputs
Outputs of similar age from River Research & Applications
#13
of 24 outputs
Altmetric has tracked 12,193,378 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 511 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 64% 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 266,685 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 59% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.