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On finding an envy-free Pareto-optimal division

Overview of attention for article published in Mathematical Programming, January 1998
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Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
13 Mendeley
citeulike
1 CiteULike
Title
On finding an envy-free Pareto-optimal division
Published in
Mathematical Programming, January 1998
DOI 10.1007/bf02680564
Authors

J. H. Reijnierse, J. A. M. Potters

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Researcher 2 15%
Other 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 2 15%
Readers by discipline Count As %
Computer Science 8 62%
Economics, Econometrics and Finance 2 15%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Unknown 1 8%
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 20 October 2019.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Mathematical Programming
#146
of 678 outputs
Outputs of similar age
#19,479
of 93,793 outputs
Outputs of similar age from Mathematical Programming
#1
of 1 outputs
Altmetric has tracked 22,790,780 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 678 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 93,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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