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Generalized polymatroids and submodular flows

Overview of attention for article published in Mathematical Programming, April 1988
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Mentioned by

patent
1 patent

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
17 Mendeley
citeulike
2 CiteULike
Title
Generalized polymatroids and submodular flows
Published in
Mathematical Programming, April 1988
DOI 10.1007/bf01589418
Authors

András Frank, Éva Tardos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 2 12%
Other 1 6%
Lecturer 1 6%
Professor 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Mathematics 6 35%
Computer Science 5 29%
Agricultural and Biological Sciences 1 6%
Economics, Econometrics and Finance 1 6%
Engineering 1 6%
Other 0 0%
Unknown 3 18%
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 April 2018.
All research outputs
#7,577,096
of 23,106,934 outputs
Outputs from Mathematical Programming
#149
of 677 outputs
Outputs of similar age
#3,734
of 13,332 outputs
Outputs of similar age from Mathematical Programming
#1
of 5 outputs
Altmetric has tracked 23,106,934 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 13,332 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 5 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