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Smooth Scan: robust access path selection without cardinality estimation

Overview of attention for article published in The VLDB Journal, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
28 Mendeley
Title
Smooth Scan: robust access path selection without cardinality estimation
Published in
The VLDB Journal, May 2018
DOI 10.1007/s00778-018-0507-8
Authors

Renata Borovica-Gajic, Stratos Idreos, Anastasia Ailamaki, Marcin Zukowski, Campbell Fraser

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Student > Bachelor 2 7%
Lecturer 2 7%
Student > Master 2 7%
Professor 2 7%
Other 4 14%
Unknown 7 25%
Readers by discipline Count As %
Computer Science 20 71%
Engineering 1 4%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 June 2018.
All research outputs
#7,760,766
of 23,842,189 outputs
Outputs from The VLDB Journal
#107
of 366 outputs
Outputs of similar age
#131,066
of 333,207 outputs
Outputs of similar age from The VLDB Journal
#3
of 4 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 has gotten more attention than average, scoring higher than 70% 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 333,207 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% 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.