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An intelligent water drop algorithm to identical parallel machine scheduling with controllable processing times: a just-in-time approach

Overview of attention for article published in Computational and Applied Mathematics, March 2015
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1 X user
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1 Facebook page

Citations

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39 Dimensions

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22 Mendeley
Title
An intelligent water drop algorithm to identical parallel machine scheduling with controllable processing times: a just-in-time approach
Published in
Computational and Applied Mathematics, March 2015
DOI 10.1007/s40314-015-0218-3
Authors

Vahid Kayvanfar, M. Zandieh, Ehsan Teymourian

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 9%
Student > Bachelor 1 5%
Other 1 5%
Other 2 9%
Unknown 8 36%
Readers by discipline Count As %
Engineering 6 27%
Business, Management and Accounting 4 18%
Decision Sciences 1 5%
Computer Science 1 5%
Unknown 10 45%
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 21 April 2017.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Computational and Applied Mathematics
#53
of 87 outputs
Outputs of similar age
#193,744
of 278,593 outputs
Outputs of similar age from Computational and Applied Mathematics
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 87 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 36th percentile – i.e., 36% 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 278,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them