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Watermarking relational data: framework, algorithms and analysis

Overview of attention for article published in The VLDB Journal, August 2003
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Mentioned by

patent
4 patents

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
43 Mendeley
Title
Watermarking relational data: framework, algorithms and analysis
Published in
The VLDB Journal, August 2003
DOI 10.1007/s00778-003-0097-x
Authors

Rakesh Agrawal, Peter J. Haas, Jerry Kiernan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 28%
Researcher 6 14%
Student > Master 5 12%
Lecturer 4 9%
Student > Bachelor 2 5%
Other 10 23%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 30 70%
Engineering 2 5%
Business, Management and Accounting 1 2%
Physics and Astronomy 1 2%
Arts and Humanities 1 2%
Other 0 0%
Unknown 8 19%
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 31 August 2021.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from The VLDB Journal
#108
of 366 outputs
Outputs of similar age
#17,269
of 50,067 outputs
Outputs of similar age from The VLDB Journal
#4
of 6 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 50,067 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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.