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Applying constraint satisfaction approach to solve product configuration problems with cardinality-based configuration rules

Overview of attention for article published in Journal of Intelligent Manufacturing, June 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
4 patents

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
26 Mendeley
Title
Applying constraint satisfaction approach to solve product configuration problems with cardinality-based configuration rules
Published in
Journal of Intelligent Manufacturing, June 2011
DOI 10.1007/s10845-011-0544-2
Authors

Dong Yang, Ming Dong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 35%
Student > Ph. D. Student 5 19%
Student > Doctoral Student 2 8%
Librarian 1 4%
Lecturer > Senior Lecturer 1 4%
Other 3 12%
Unknown 5 19%
Readers by discipline Count As %
Engineering 10 38%
Computer Science 4 15%
Business, Management and Accounting 2 8%
Design 2 8%
Sports and Recreations 1 4%
Other 3 12%
Unknown 4 15%
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 31 May 2016.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from Journal of Intelligent Manufacturing
#32
of 566 outputs
Outputs of similar age
#41,149
of 112,540 outputs
Outputs of similar age from Journal of Intelligent Manufacturing
#1
of 1 outputs
Altmetric has tracked 23,036,991 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 112,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% 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