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A Road Network Embedding Technique for K-Nearest Neighbor Search in Moving Object Databases

Overview of attention for article published in GeoInformatica, September 2003
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 107)

Mentioned by

patent
1 patent

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
64 Mendeley
citeulike
1 CiteULike
Title
A Road Network Embedding Technique for K-Nearest Neighbor Search in Moving Object Databases
Published in
GeoInformatica, September 2003
DOI 10.1023/a:1025153016110
Authors

Cyrus Shahabi, Mohammad R. Kolahdouzan, Mehdi Sharifzadeh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Portugal 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 38%
Student > Master 8 13%
Other 5 8%
Student > Postgraduate 5 8%
Professor 3 5%
Other 10 16%
Unknown 9 14%
Readers by discipline Count As %
Computer Science 37 58%
Engineering 9 14%
Business, Management and Accounting 2 3%
Chemistry 2 3%
Physics and Astronomy 1 2%
Other 3 5%
Unknown 10 16%
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 January 2011.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from GeoInformatica
#34
of 107 outputs
Outputs of similar age
#18,839
of 53,937 outputs
Outputs of similar age from GeoInformatica
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 53,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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