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Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization

Overview of attention for article published in Water Resources Management, July 2006
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1 X user

Citations

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291 Dimensions

Readers on

mendeley
166 Mendeley
citeulike
2 CiteULike
Title
Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization
Published in
Water Resources Management, July 2006
DOI 10.1007/s11269-005-9001-3
Authors

Omid Bozorg Haddad, Abbas Afshar, Miguel A. Mariño

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

Geographical breakdown

Country Count As %
Malaysia 3 2%
Colombia 2 1%
Brazil 2 1%
United Kingdom 2 1%
United States 2 1%
Unknown 155 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 27%
Student > Master 27 16%
Researcher 13 8%
Student > Doctoral Student 9 5%
Student > Bachelor 9 5%
Other 34 20%
Unknown 29 17%
Readers by discipline Count As %
Engineering 65 39%
Computer Science 30 18%
Agricultural and Biological Sciences 12 7%
Environmental Science 4 2%
Unspecified 3 2%
Other 14 8%
Unknown 38 23%
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 12 July 2017.
All research outputs
#15,318,515
of 22,783,848 outputs
Outputs from Water Resources Management
#362
of 615 outputs
Outputs of similar age
#56,996
of 65,613 outputs
Outputs of similar age from Water Resources Management
#9
of 11 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 615 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 26th percentile – i.e., 26% 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 65,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% 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 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.