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Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, March 2018
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8 Mendeley
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Title
Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data
Published in
IEEE Transactions on Knowledge and Data Engineering, March 2018
DOI 10.1109/tkde.2018.2812153
Authors

Yu Gu, Yandan Guo, Yang Song, Xiangmin Zhou, Ge Yu

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Lecturer 2 25%
Lecturer > Senior Lecturer 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 1 13%
Unknown 3 38%
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 05 October 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#1,977
of 2,365 outputs
Outputs of similar age
#271,291
of 347,366 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#40
of 62 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,365 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 62 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.