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Minimising Total Flowtime in a No-Wait Flow Shop (NWFS) using Genetic Algorithms

Overview of attention for article published in Ingeniería e Investigación, September 2018
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1 X user

Citations

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8 Dimensions

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10 Mendeley
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Title
Minimising Total Flowtime in a No-Wait Flow Shop (NWFS) using Genetic Algorithms
Published in
Ingeniería e Investigación, September 2018
DOI 10.15446/ing.investig.v38n3.75281
Authors

Imran Ali Chaudhry, Isam AbdulQader Elbadawi, Muhammad Usman, Muhammad Tajammal Chughtai

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Researcher 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 2 20%
Unspecified 1 10%
Engineering 1 10%
Unknown 6 60%
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 27 July 2023.
All research outputs
#19,637,467
of 24,153,435 outputs
Outputs from Ingeniería e Investigación
#64
of 84 outputs
Outputs of similar age
#262,158
of 339,244 outputs
Outputs of similar age from Ingeniería e Investigación
#1
of 1 outputs
Altmetric has tracked 24,153,435 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 84 research outputs from this source. They receive a mean Attention Score of 1.4. 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 339,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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