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The Dense k -Subgraph Problem

Overview of attention for article published in Algorithmica, March 2001
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Mentioned by

patent
1 patent

Citations

dimensions_citation
380 Dimensions

Readers on

mendeley
75 Mendeley
Title
The Dense k -Subgraph Problem
Published in
Algorithmica, March 2001
DOI 10.1007/s004530010050
Authors

U. Feige, D. Peleg, G. Kortsarz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 2 3%
India 1 1%
Spain 1 1%
Ukraine 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 35%
Researcher 8 11%
Professor > Associate Professor 8 11%
Student > Master 8 11%
Student > Doctoral Student 6 8%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Computer Science 48 64%
Mathematics 5 7%
Engineering 5 7%
Business, Management and Accounting 4 5%
Agricultural and Biological Sciences 2 3%
Other 2 3%
Unknown 9 12%
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 28 October 2014.
All research outputs
#7,564,477
of 23,073,835 outputs
Outputs from Algorithmica
#78
of 420 outputs
Outputs of similar age
#13,225
of 40,729 outputs
Outputs of similar age from Algorithmica
#1
of 6 outputs
Altmetric has tracked 23,073,835 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 420 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 28th percentile – i.e., 28% 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 40,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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