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Accelerating Range Query Processing on R-Tree Using Graphics Processing Units

Overview of attention for article published in IEICE Transactions on Information and Systems, December 2013
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Title
Accelerating Range Query Processing on R-Tree Using Graphics Processing Units
Published in
IEICE Transactions on Information and Systems, December 2013
DOI 10.1587/transinf.e96.d.2776
Authors

Boseon YU, Hyunduk KIM, Wonik CHOI, Dongseop KWON

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Computer Science 2 100%
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 19 February 2020.
All research outputs
#17,636,985
of 25,850,671 outputs
Outputs from IEICE Transactions on Information and Systems
#295
of 355 outputs
Outputs of similar age
#208,108
of 323,449 outputs
Outputs of similar age from IEICE Transactions on Information and Systems
#11
of 11 outputs
Altmetric has tracked 25,850,671 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 355 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 8th percentile – i.e., 8% 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 323,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.