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Evaluating the “Gradual Entrainment Lake Inverter” (GELI) artificial mixing technology for lake and reservoir management

Overview of attention for article published in Lake and Reservoir Management, February 2018
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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16 Mendeley
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Title
Evaluating the “Gradual Entrainment Lake Inverter” (GELI) artificial mixing technology for lake and reservoir management
Published in
Lake and Reservoir Management, February 2018
DOI 10.1080/10402381.2018.1423586
Authors

Colin A. Smith, Jordan S. Read, M. Jake Vander Zanden

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 3 19%
Student > Master 3 19%
Student > Doctoral Student 1 6%
Other 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline Count As %
Environmental Science 7 44%
Agricultural and Biological Sciences 2 13%
Neuroscience 1 6%
Chemistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 February 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Lake and Reservoir Management
#313
of 388 outputs
Outputs of similar age
#343,060
of 448,849 outputs
Outputs of similar age from Lake and Reservoir Management
#7
of 10 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 448,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.