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On constrained spectral clustering and its applications

Overview of attention for article published in Data Mining and Knowledge Discovery, September 2012
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Mentioned by

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1 Google+ user

Citations

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133 Dimensions

Readers on

mendeley
108 Mendeley
Title
On constrained spectral clustering and its applications
Published in
Data Mining and Knowledge Discovery, September 2012
DOI 10.1007/s10618-012-0291-9
Authors

Xiang Wang, Buyue Qian, Ian Davidson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
France 1 <1%
Tunisia 1 <1%
Austria 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 100 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 31%
Student > Master 18 17%
Researcher 9 8%
Professor > Associate Professor 5 5%
Professor 5 5%
Other 16 15%
Unknown 22 20%
Readers by discipline Count As %
Computer Science 52 48%
Engineering 13 12%
Mathematics 7 6%
Agricultural and Biological Sciences 2 2%
Environmental Science 1 <1%
Other 5 5%
Unknown 28 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 January 2012.
All research outputs
#16,172,769
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#354
of 546 outputs
Outputs of similar age
#109,693
of 172,417 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 4 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 22nd percentile – i.e., 22% 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 172,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.