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LocalSolver 1.x: a black-box local-search solver for 0-1 programming

Overview of attention for article published in 4OR, March 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
29 Mendeley
Title
LocalSolver 1.x: a black-box local-search solver for 0-1 programming
Published in
4OR, March 2011
DOI 10.1007/s10288-011-0165-9
Authors

Thierry Benoist, Bertrand Estellon, Frédéric Gardi, Romain Megel, Karim Nouioua

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

Geographical breakdown

Country Count As %
Australia 1 3%
Brazil 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Researcher 5 17%
Student > Ph. D. Student 5 17%
Lecturer 4 14%
Student > Bachelor 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 13 45%
Engineering 5 17%
Mathematics 4 14%
Business, Management and Accounting 2 7%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 September 2020.
All research outputs
#6,773,523
of 23,849,058 outputs
Outputs from 4OR
#8
of 70 outputs
Outputs of similar age
#35,600
of 110,787 outputs
Outputs of similar age from 4OR
#1
of 1 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 87% 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 110,787 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 65% of its contemporaries.
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