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Engineering scalable, cache and space efficient tries for strings

Overview of attention for article published in The VLDB Journal, May 2010
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
26 Mendeley
citeulike
2 CiteULike
Title
Engineering scalable, cache and space efficient tries for strings
Published in
The VLDB Journal, May 2010
DOI 10.1007/s00778-010-0183-9
Authors

Nikolas Askitis, Ranjan Sinha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 4%
United States 1 4%
China 1 4%
Germany 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 42%
Student > Master 4 15%
Student > Bachelor 3 12%
Other 2 8%
Researcher 2 8%
Other 3 12%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 21 81%
Engineering 3 12%
Materials Science 1 4%
Unknown 1 4%
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 13 June 2010.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from The VLDB Journal
#108
of 366 outputs
Outputs of similar age
#35,655
of 97,527 outputs
Outputs of similar age from The VLDB Journal
#1
of 5 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 97,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% 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. This one has scored higher than all of them