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Towards zero-overhead static and adaptive indexing in Hadoop

Overview of attention for article published in The VLDB Journal, September 2013
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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 (#17 of 366)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

news
1 news outlet
patent
2 patents

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
74 Mendeley
Title
Towards zero-overhead static and adaptive indexing in Hadoop
Published in
The VLDB Journal, September 2013
DOI 10.1007/s00778-013-0332-z
Authors

Stefan Richter, Jorge-Arnulfo Quiané-Ruiz, Stefan Schuh, Jens Dittrich

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Italy 1 1%
Brazil 1 1%
United Kingdom 1 1%
China 1 1%
Japan 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 65 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 22%
Student > Ph. D. Student 14 19%
Researcher 10 14%
Other 8 11%
Student > Doctoral Student 5 7%
Other 15 20%
Unknown 6 8%
Readers by discipline Count As %
Computer Science 58 78%
Engineering 3 4%
Mathematics 1 1%
Unspecified 1 1%
Decision Sciences 1 1%
Other 3 4%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 19 April 2022.
All research outputs
#3,116,644
of 23,842,189 outputs
Outputs from The VLDB Journal
#17
of 366 outputs
Outputs of similar age
#28,182
of 205,649 outputs
Outputs of similar age from The VLDB Journal
#1
of 3 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 86th 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 particularly well, scoring higher than 95% 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 205,649 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 85% of its contemporaries.
We're also able to compare this research output to 3 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