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Pumping Optimization of Coastal Aquifers Using Seawater Intrusion Models of Variable-Fidelity and Evolutionary Algorithms

Overview of attention for article published in Water Resources Management, October 2018
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1 X user

Citations

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18 Mendeley
Title
Pumping Optimization of Coastal Aquifers Using Seawater Intrusion Models of Variable-Fidelity and Evolutionary Algorithms
Published in
Water Resources Management, October 2018
DOI 10.1007/s11269-018-2116-0
Authors

Vasileios Christelis, Aristotelis Mantoglou

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 3 17%
Student > Master 2 11%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Engineering 5 28%
Environmental Science 3 17%
Agricultural and Biological Sciences 3 17%
Nursing and Health Professions 1 6%
Earth and Planetary Sciences 1 6%
Other 1 6%
Unknown 4 22%
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 15 March 2019.
All research outputs
#20,559,323
of 23,133,982 outputs
Outputs from Water Resources Management
#533
of 623 outputs
Outputs of similar age
#304,842
of 350,287 outputs
Outputs of similar age from Water Resources Management
#11
of 11 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 623 research outputs from this source. They receive a mean Attention Score of 4.2. 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 350,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.