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Finding reliable subgraphs from large probabilistic graphs

Overview of attention for article published in Data Mining and Knowledge Discovery, July 2008
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Mentioned by

patent
1 patent

Citations

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64 Dimensions

Readers on

mendeley
32 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
Title
Finding reliable subgraphs from large probabilistic graphs
Published in
Data Mining and Knowledge Discovery, July 2008
DOI 10.1007/s10618-008-0106-1
Authors

Petteri Hintsanen, Hannu Toivonen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 2 6%
Korea, Republic of 1 3%
China 1 3%
Belgium 1 3%
Unknown 25 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 5 16%
Professor > Associate Professor 4 13%
Researcher 4 13%
Student > Bachelor 3 9%
Other 4 13%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 25 78%
Agricultural and Biological Sciences 4 13%
Physics and Astronomy 1 3%
Engineering 1 3%
Unknown 1 3%
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 08 December 2011.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Data Mining and Knowledge Discovery
#195
of 656 outputs
Outputs of similar age
#35,065
of 99,898 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 6 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 656 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 55% 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 99,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% 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 4 of them.