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A Location-Query-Browse Graph for Contextual Recommendation

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, January 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
39 Mendeley
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Title
A Location-Query-Browse Graph for Contextual Recommendation
Published in
IEEE Transactions on Knowledge and Data Engineering, January 2018
DOI 10.1109/tkde.2017.2766059
Authors

Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Master 8 21%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Professor 2 5%
Other 5 13%
Unknown 10 26%
Readers by discipline Count As %
Computer Science 16 41%
Engineering 6 15%
Agricultural and Biological Sciences 1 3%
Environmental Science 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 13 33%
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 29 August 2023.
All research outputs
#7,050,597
of 25,382,440 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#362
of 2,365 outputs
Outputs of similar age
#132,219
of 450,867 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#2
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,365 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% 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 450,867 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 70% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.