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A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem

Overview of attention for article published in Journal of Intelligent Manufacturing, July 2011
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About this Attention Score

  • Among the highest-scoring outputs from this source (#32 of 566)
  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
2 patents

Readers on

mendeley
30 Mendeley
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Article details
Title
A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem
Published in
Journal of Intelligent Manufacturing, July 2011
DOI 10.1007/s10845-011-0570-0
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 3%
Germany 1 3%
Brazil 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Professor 5 17%
Student > Master 5 17%
Researcher 4 13%
Student > Doctoral Student 3 10%
Other 3 10%
Unknown 3 10%
Readers by discipline
Readers by discipline Count As %
Engineering 10 33%
Computer Science 5 17%
Business, Management and Accounting 4 13%
Decision Sciences 2 7%
Mathematics 1 3%
Other 1 3%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2017.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from Journal of Intelligent Manufacturing
#32
of 566 outputs
Outputs of similar age
#42,540
of 120,357 outputs
Outputs of similar age from Journal of Intelligent Manufacturing
#1
of 2 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 566 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 74% 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 120,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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