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Mining social networks for local search and location-based recommender systems

Overview of attention for article published in Personal and Ubiquitous Computing, June 2019
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Mentioned by

facebook
1 Facebook page

Readers on

mendeley
29 Mendeley
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Article details
Title
Mining social networks for local search and location-based recommender systems
Published in
Personal and Ubiquitous Computing, June 2019
DOI 10.1007/s00779-019-01241-0
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 4 14%
Lecturer > Senior Lecturer 2 7%
Other 2 7%
Lecturer 2 7%
Student > Bachelor 2 7%
Other 8 28%
Unknown 9 31%
Readers by discipline
Readers by discipline Count As %
Computer Science 14 48%
Engineering 3 10%
Social Sciences 2 7%
Unknown 10 34%
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 06 June 2019.
All research outputs
#20,572,330
of 23,150,406 outputs
Outputs from Personal and Ubiquitous Computing
#1,103
of 1,201 outputs
Outputs of similar age
#300,408
of 352,687 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#21
of 43 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,201 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 352,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 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.