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Finding minimum-cost flows by double scaling

Overview of attention for article published in Mathematical Programming, January 1992
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
22 Mendeley
Title
Finding minimum-cost flows by double scaling
Published in
Mathematical Programming, January 1992
DOI 10.1007/bf01585705
Authors

Ravindra K. Ahuja, Andrew V. Goldberg, James B. Orlin, Robert E. Tarjan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 5%
Germany 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 4 18%
Researcher 3 14%
Student > Bachelor 2 9%
Lecturer 2 9%
Other 5 23%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 10 45%
Engineering 4 18%
Mathematics 3 14%
Economics, Econometrics and Finance 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 3 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 06 October 2020.
All research outputs
#7,564,023
of 23,072,295 outputs
Outputs from Mathematical Programming
#149
of 677 outputs
Outputs of similar age
#12,606
of 62,061 outputs
Outputs of similar age from Mathematical Programming
#2
of 6 outputs
Altmetric has tracked 23,072,295 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 62,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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 4 of them.