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Efficient large-scale distance-based join queries in spatialhadoop

Overview of attention for article published in GeoInformatica, September 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#25 of 102)
  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

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5 X users

Citations

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12 Dimensions

Readers on

mendeley
14 Mendeley
Title
Efficient large-scale distance-based join queries in spatialhadoop
Published in
GeoInformatica, September 2017
DOI 10.1007/s10707-017-0309-y
Authors

Francisco García-García, Antonio Corral, Luis Iribarne, Michael Vassilakopoulos, Yannis Manolopoulos

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 6 43%
Student > Doctoral Student 2 14%
Student > Ph. D. Student 2 14%
Student > Master 2 14%
Other 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 9 64%
Earth and Planetary Sciences 3 21%
Business, Management and Accounting 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 June 2018.
All research outputs
#6,304,978
of 23,043,346 outputs
Outputs from GeoInformatica
#25
of 102 outputs
Outputs of similar age
#100,541
of 318,453 outputs
Outputs of similar age from GeoInformatica
#1
of 2 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 102 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 318,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 2 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