↓ Skip to main content

Fair Matchings and Related Problems

Overview of attention for article published in Algorithmica, April 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
11 Mendeley
Title
Fair Matchings and Related Problems
Published in
Algorithmica, April 2015
DOI 10.1007/s00453-015-9994-9
Authors

Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 27%
Student > Bachelor 2 18%
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Researcher 1 9%
Other 1 9%
Readers by discipline Count As %
Computer Science 6 55%
Agricultural and Biological Sciences 1 9%
Mathematics 1 9%
Social Sciences 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%
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 23 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from Algorithmica
#388
of 419 outputs
Outputs of similar age
#224,089
of 264,891 outputs
Outputs of similar age from Algorithmica
#4
of 4 outputs
Altmetric has tracked 22,858,915 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 264,891 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 4 others from the same source and published within six weeks on either side of this one.