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Operator scheduling in data stream systems

Overview of attention for article published in The VLDB Journal, December 2004
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 377)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

patent
4 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
59 Mendeley
Title
Operator scheduling in data stream systems
Published in
The VLDB Journal, December 2004
DOI 10.1007/s00778-004-0132-6
Authors

Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev Motwani, Dilys Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 2 3%
Pakistan 1 2%
Italy 1 2%
France 1 2%
Slovakia 1 2%
Switzerland 1 2%
India 1 2%
China 1 2%
Other 0 0%
Unknown 48 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 32%
Student > Master 12 20%
Researcher 7 12%
Student > Doctoral Student 4 7%
Professor > Associate Professor 3 5%
Other 10 17%
Unknown 4 7%
Readers by discipline Count As %
Computer Science 50 85%
Engineering 3 5%
Unknown 6 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 13 June 2023.
All research outputs
#3,625,854
of 24,535,155 outputs
Outputs from The VLDB Journal
#18
of 377 outputs
Outputs of similar age
#10,835
of 147,721 outputs
Outputs of similar age from The VLDB Journal
#1
of 4 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 90% 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 147,721 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
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. This one has scored higher than all of them