↓ Skip to main content

The volume algorithm: producing primal solutions with a subgradient method

Overview of attention for article published in Mathematical Programming, May 2000
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
190 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 33%
Student > Master 11 17%
Professor > Associate Professor 9 14%
Researcher 7 11%
Student > Doctoral Student 5 8%
Other 7 11%
Unknown 3 5%
Readers by discipline Count As %
Engineering 17 27%
Computer Science 15 24%
Business, Management and Accounting 10 16%
Mathematics 8 13%
Energy 2 3%
Other 6 10%
Unknown 5 8%

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
#5,001,792
of 15,857,043 outputs
Outputs from Mathematical Programming
#89
of 476 outputs
Outputs of similar age
#108,504
of 281,921 outputs
Outputs of similar age from Mathematical Programming
#1
of 7 outputs
Altmetric has tracked 15,857,043 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 476 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 48th percentile – i.e., 48% 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 281,921 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 59% of its contemporaries.
We're also able to compare this research output to 7 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