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Meta-heuristic algorithms as tools for hydrological science

Overview of attention for article published in Geoscience Letters, March 2014
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Mentioned by

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1 Google+ user

Citations

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19 Dimensions

Readers on

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19 Mendeley
Title
Meta-heuristic algorithms as tools for hydrological science
Published in
Geoscience Letters, March 2014
DOI 10.1186/2196-4092-1-4
Authors

Do Guen Yoo, Joong Hoon Kim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 3 16%
Student > Master 3 16%
Professor 2 11%
Professor > Associate Professor 2 11%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Engineering 10 53%
Computer Science 3 16%
Agricultural and Biological Sciences 2 11%
Energy 1 5%
Earth and Planetary Sciences 1 5%
Other 0 0%
Unknown 2 11%
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 07 March 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Geoscience Letters
#98
of 214 outputs
Outputs of similar age
#142,672
of 235,898 outputs
Outputs of similar age from Geoscience Letters
#4
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 214 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 235,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.