↓ Skip to main content

Parallel branch, cut, and price for large-scale discrete optimization

Overview of attention for article published in Mathematical Programming, April 2003
Altmetric Badge

Mentioned by

patent
2 patents

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
38 Mendeley
Title
Parallel branch, cut, and price for large-scale discrete optimization
Published in
Mathematical Programming, April 2003
DOI 10.1007/s10107-003-0404-8
Authors

T.K. Ralphs, L. Ladányi, M.J. Saltzman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Student > Master 7 18%
Professor > Associate Professor 5 13%
Professor 4 11%
Other 4 11%
Other 5 13%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 21 55%
Engineering 5 13%
Mathematics 4 11%
Decision Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 2 5%
Unknown 4 11%
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 17 September 2019.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Mathematical Programming
#159
of 787 outputs
Outputs of similar age
#20,750
of 63,032 outputs
Outputs of similar age from Mathematical Programming
#3
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 787 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 50% 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 63,032 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.