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Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

Overview of attention for article published in Distributed and Parallel Databases, September 2005
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About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 128)

Mentioned by

patent
5 patents

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
84 Mendeley
citeulike
1 CiteULike
Title
Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams
Published in
Distributed and Parallel Databases, September 2005
DOI 10.1007/s10619-005-3296-1
Authors

Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang, Y. Dora Cai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
United Kingdom 2 2%
United States 2 2%
Japan 2 2%
Brazil 1 1%
Italy 1 1%
Unknown 73 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 14 17%
Student > Master 13 15%
Other 10 12%
Professor > Associate Professor 5 6%
Other 17 20%
Unknown 7 8%
Readers by discipline Count As %
Computer Science 64 76%
Engineering 4 5%
Mathematics 2 2%
Linguistics 1 1%
Earth and Planetary Sciences 1 1%
Other 1 1%
Unknown 11 13%
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 06 May 2014.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Distributed and Parallel Databases
#39
of 128 outputs
Outputs of similar age
#21,322
of 60,325 outputs
Outputs of similar age from Distributed and Parallel Databases
#1
of 3 outputs
Altmetric has tracked 23,854,458 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 128 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 23rd percentile – i.e., 23% 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 60,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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