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The volume algorithm: producing primal solutions with a subgradient method

Overview of attention for article published in Mathematical Programming, May 2000
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Mentioned by

patent
2 patents

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
70 Mendeley
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Title
The volume algorithm: producing primal solutions with a subgradient method
Published in
Mathematical Programming, May 2000
DOI 10.1007/s101070050002
Authors

Francisco Barahona, Ranga Anbil

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Student > Master 10 14%
Professor > Associate Professor 9 13%
Researcher 7 10%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 8 11%
Readers by discipline Count As %
Engineering 18 26%
Computer Science 16 23%
Business, Management and Accounting 10 14%
Mathematics 8 11%
Energy 2 3%
Other 6 9%
Unknown 10 14%
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
#7,565,251
of 23,075,872 outputs
Outputs from Mathematical Programming
#149
of 677 outputs
Outputs of similar age
#12,826
of 39,567 outputs
Outputs of similar age from Mathematical Programming
#3
of 6 outputs
Altmetric has tracked 23,075,872 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 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 39,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.