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Fast algorithms for determining (generalized) core groups in social networks

Overview of attention for article published in Advances in Data Analysis and Classification, November 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#31 of 117)

Mentioned by

patent
1 patent

Citations

dimensions_citation
214 Dimensions

Readers on

mendeley
73 Mendeley
Title
Fast algorithms for determining (generalized) core groups in social networks
Published in
Advances in Data Analysis and Classification, November 2010
DOI 10.1007/s11634-010-0079-y
Authors

Vladimir Batagelj, Matjaž Zaveršnik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 3%
Portugal 1 1%
Ireland 1 1%
Hong Kong 1 1%
India 1 1%
United Kingdom 1 1%
Unknown 66 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 9 12%
Student > Master 8 11%
Student > Doctoral Student 7 10%
Student > Postgraduate 5 7%
Other 15 21%
Unknown 11 15%
Readers by discipline Count As %
Computer Science 32 44%
Mathematics 5 7%
Engineering 5 7%
Social Sciences 5 7%
Agricultural and Biological Sciences 3 4%
Other 9 12%
Unknown 14 19%
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 01 March 2016.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Advances in Data Analysis and Classification
#31
of 117 outputs
Outputs of similar age
#41,034
of 112,011 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 117 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 58% 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 112,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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