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On applying hash filters to improving the execution of multi-join queries

Overview of attention for article published in The VLDB Journal, May 1997
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Mentioned by

patent
3 patents

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
5 Mendeley
Title
On applying hash filters to improving the execution of multi-join queries
Published in
The VLDB Journal, May 1997
DOI 10.1007/s007780050036
Authors

Ming-Syan Chen, Hui-I Hsiao, Philip S. Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 20%
United States 1 20%
Unknown 3 60%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Unknown 1 20%
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 24 May 2005.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from The VLDB Journal
#108
of 366 outputs
Outputs of similar age
#9,881
of 31,283 outputs
Outputs of similar age from The VLDB Journal
#2
of 4 outputs
Altmetric has tracked 23,842,189 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 366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 9th percentile – i.e., 9% 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 31,283 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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. This one has scored higher than 2 of them.