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FrogCOL and FrogMIS: new decentralized algorithms for finding large independent sets in graphs

Overview of attention for article published in Swarm Intelligence, July 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
7 news outlets

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
22 Mendeley
Title
FrogCOL and FrogMIS: new decentralized algorithms for finding large independent sets in graphs
Published in
Swarm Intelligence, July 2015
DOI 10.1007/s11721-015-0110-1
Authors

Christian Blum, Borja Calvo, Maria J. Blesa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 9%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Professor 3 14%
Student > Ph. D. Student 3 14%
Lecturer 2 9%
Professor > Associate Professor 2 9%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Computer Science 9 41%
Mathematics 2 9%
Engineering 2 9%
Business, Management and Accounting 1 5%
Physics and Astronomy 1 5%
Other 3 14%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 07 October 2015.
All research outputs
#670,916
of 22,834,308 outputs
Outputs from Swarm Intelligence
#4
of 85 outputs
Outputs of similar age
#8,518
of 262,260 outputs
Outputs of similar age from Swarm Intelligence
#1
of 3 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 95% of its peers.
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 262,260 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
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. This one has scored higher than all of them