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A polynomial time primal network simplex algorithm for minimum cost flows

Overview of attention for article published in Mathematical Programming, August 1997
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Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
70 Mendeley
Title
A polynomial time primal network simplex algorithm for minimum cost flows
Published in
Mathematical Programming, August 1997
DOI 10.1007/bf02614365
Authors

James B. Orlin

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 %
United States 2 3%
Japan 2 3%
United Kingdom 1 1%
Italy 1 1%
Canada 1 1%
Unknown 63 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Student > Master 12 17%
Researcher 8 11%
Student > Bachelor 6 9%
Professor 6 9%
Other 8 11%
Unknown 10 14%
Readers by discipline Count As %
Computer Science 30 43%
Engineering 10 14%
Mathematics 7 10%
Business, Management and Accounting 3 4%
Unspecified 2 3%
Other 5 7%
Unknown 13 19%
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 04 September 2016.
All research outputs
#7,969,973
of 23,983,331 outputs
Outputs from Mathematical Programming
#150
of 700 outputs
Outputs of similar age
#9,648
of 30,046 outputs
Outputs of similar age from Mathematical Programming
#2
of 3 outputs
Altmetric has tracked 23,983,331 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 700 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 30,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.