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Exploiting the roles of aspects in personalized POI recommender systems

Overview of attention for article published in Data Mining and Knowledge Discovery, August 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
40 Mendeley
Title
Exploiting the roles of aspects in personalized POI recommender systems
Published in
Data Mining and Knowledge Discovery, August 2017
DOI 10.1007/s10618-017-0537-7
Authors

Ramesh Baral, Tao Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Ph. D. Student 8 20%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Researcher 2 5%
Other 2 5%
Unknown 15 38%
Readers by discipline Count As %
Computer Science 19 48%
Engineering 3 8%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 February 2018.
All research outputs
#14,169,511
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#271
of 546 outputs
Outputs of similar age
#163,765
of 320,132 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#7
of 20 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 47th percentile – i.e., 47% 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 320,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.