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A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm

Overview of attention for article published in Applied Intelligence, December 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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43 Dimensions

Readers on

mendeley
30 Mendeley
Title
A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm
Published in
Applied Intelligence, December 2018
DOI 10.1007/s10489-018-1343-7
Authors

Imen Chaouch, Olfa Belkahla Driss, Khaled Ghedira

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

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Ph. D. Student 4 13%
Professor 3 10%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 9 30%
Readers by discipline Count As %
Engineering 7 23%
Computer Science 6 20%
Business, Management and Accounting 2 7%
Agricultural and Biological Sciences 1 3%
Unknown 14 47%
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 18 December 2018.
All research outputs
#15,554,476
of 23,117,738 outputs
Outputs from Applied Intelligence
#242
of 1,711 outputs
Outputs of similar age
#264,269
of 436,358 outputs
Outputs of similar age from Applied Intelligence
#4
of 4 outputs
Altmetric has tracked 23,117,738 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 1,711 research outputs from this source. They receive a mean Attention Score of 1.0. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 436,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.