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Clustering Large Graphs via the Singular Value Decomposition

Overview of attention for article published in Machine Learning, July 2004
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Mentioned by

wikipedia
8 Wikipedia pages

Citations

dimensions_citation
317 Dimensions

Readers on

mendeley
309 Mendeley
connotea
1 Connotea
Title
Clustering Large Graphs via the Singular Value Decomposition
Published in
Machine Learning, July 2004
DOI 10.1023/b:mach.0000033113.59016.96
Authors

P. Drineas, A. Frieze, R. Kannan, S. Vempala, V. Vinay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
Canada 4 1%
France 3 <1%
Germany 2 <1%
China 2 <1%
Turkey 1 <1%
Slovakia 1 <1%
Belgium 1 <1%
Brazil 1 <1%
Other 4 1%
Unknown 277 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 95 31%
Researcher 52 17%
Student > Master 52 17%
Student > Bachelor 21 7%
Professor > Associate Professor 15 5%
Other 45 15%
Unknown 29 9%
Readers by discipline Count As %
Computer Science 146 47%
Engineering 46 15%
Mathematics 27 9%
Agricultural and Biological Sciences 11 4%
Physics and Astronomy 9 3%
Other 35 11%
Unknown 35 11%
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 January 2023.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#20,966
of 59,041 outputs
Outputs of similar age from Machine Learning
#3
of 6 outputs
Altmetric has tracked 25,373,627 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 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 56% 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 59,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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 3 of them.