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VDDA: automatic visualization-driven data aggregation in relational databases

Overview of attention for article published in The VLDB Journal, August 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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29 Dimensions

Readers on

mendeley
33 Mendeley
Title
VDDA: automatic visualization-driven data aggregation in relational databases
Published in
The VLDB Journal, August 2015
DOI 10.1007/s00778-015-0396-z
Authors

Uwe Jugel, Zbigniew Jerzak, Gregor Hackenbroich, Volker Markl

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Student > Ph. D. Student 6 18%
Researcher 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Computer Science 12 36%
Engineering 4 12%
Business, Management and Accounting 2 6%
Mathematics 1 3%
Sports and Recreations 1 3%
Other 3 9%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 February 2016.
All research outputs
#16,061,913
of 23,842,189 outputs
Outputs from The VLDB Journal
#343
of 366 outputs
Outputs of similar age
#157,216
of 266,151 outputs
Outputs of similar age from The VLDB Journal
#5
of 5 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 1st percentile – i.e., 1% 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 266,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.