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A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem

Overview of attention for article published in Annals of Operations Research, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
72 Mendeley
Title
A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem
Published in
Annals of Operations Research, June 2014
DOI 10.1007/s10479-014-1641-3
Authors

Can B. Kalayci, Olcay Polat, Surendra M. Gupta

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

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Ph. D. Student 10 14%
Researcher 6 8%
Professor 5 7%
Student > Bachelor 3 4%
Other 8 11%
Unknown 29 40%
Readers by discipline Count As %
Engineering 23 32%
Business, Management and Accounting 5 7%
Computer Science 5 7%
Psychology 3 4%
Decision Sciences 1 1%
Other 2 3%
Unknown 33 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 November 2020.
All research outputs
#6,952,216
of 24,679,965 outputs
Outputs from Annals of Operations Research
#95
of 816 outputs
Outputs of similar age
#62,126
of 233,289 outputs
Outputs of similar age from Annals of Operations Research
#2
of 9 outputs
Altmetric has tracked 24,679,965 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 816 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 88% 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 233,289 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.