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Matchings with Lower Quotas: Algorithms and Complexity

Overview of attention for article published in Algorithmica, November 2016
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Mentioned by

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1 X user

Citations

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Readers on

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15 Mendeley
Title
Matchings with Lower Quotas: Algorithms and Complexity
Published in
Algorithmica, November 2016
DOI 10.1007/s00453-016-0252-6
Authors

Ashwin Arulselvan, Ágnes Cseh, Martin Groß, David F. Manlove, Jannik Matuschke

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Master 3 20%
Professor 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 9 60%
Mathematics 1 7%
Social Sciences 1 7%
Engineering 1 7%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 January 2017.
All research outputs
#20,359,475
of 22,908,162 outputs
Outputs from Algorithmica
#388
of 419 outputs
Outputs of similar age
#348,540
of 414,941 outputs
Outputs of similar age from Algorithmica
#4
of 5 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 419 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 414,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.