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Plan-structured deep neural network models for query performance prediction

Overview of attention for article published in Proceedings of the VLDB Endowment, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 X users
patent
9 patents

Readers on

mendeley
93 Mendeley
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Article details
Title
Plan-structured deep neural network models for query performance prediction
Published in
Proceedings of the VLDB Endowment, July 2019
DOI 10.14778/3342263.3342646
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 15 16%
Student > Ph. D. Student 12 13%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Researcher 5 5%
Other 7 8%
Unknown 43 46%
Readers by discipline
Readers by discipline Count As %
Computer Science 46 49%
Environmental Science 2 2%
Engineering 2 2%
Unspecified 1 1%
Design 1 1%
Other 0 0%
Unknown 41 44%
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 27 January 2026.
All research outputs
#4,647,397
of 31,393,817 outputs
Outputs from Proceedings of the VLDB Endowment
#77
of 1,370 outputs
Outputs of similar age
#74,964
of 379,167 outputs
Outputs of similar age from Proceedings of the VLDB Endowment
#4
of 41 outputs
Altmetric has tracked 31,393,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,370 research outputs from this source. They receive a mean Attention Score of 4.3. 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 379,167 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.