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Detecting anomalous access patterns in relational databases

Overview of attention for article published in The VLDB Journal, May 2007
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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 (#40 of 366)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

patent
8 patents

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
3 CiteULike
Title
Detecting anomalous access patterns in relational databases
Published in
The VLDB Journal, May 2007
DOI 10.1007/s00778-007-0051-4
Authors

Ashish Kamra, Evimaria Terzi, Elisa Bertino

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iraq 1 1%
Netherlands 1 1%
India 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Student > Master 16 20%
Researcher 8 10%
Student > Bachelor 5 6%
Lecturer 5 6%
Other 12 15%
Unknown 17 22%
Readers by discipline Count As %
Computer Science 53 67%
Engineering 5 6%
Business, Management and Accounting 1 1%
Physics and Astronomy 1 1%
Unspecified 1 1%
Other 0 0%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 February 2023.
All research outputs
#4,981,964
of 23,842,189 outputs
Outputs from The VLDB Journal
#40
of 366 outputs
Outputs of similar age
#13,914
of 72,527 outputs
Outputs of similar age from The VLDB Journal
#1
of 4 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 77% 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 72,527 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 71% 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