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RHPMF: A context-aware matrix factorization approach for understanding regional real estate market

Overview of attention for article published in Information Fusion, June 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 548)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
5 news outlets

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
14 Mendeley
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Title
RHPMF: A context-aware matrix factorization approach for understanding regional real estate market
Published in
Information Fusion, June 2023
DOI 10.1016/j.inffus.2023.02.001
Authors

Junchi Bin, Bryan Gardiner, Huan Liu, Eric Li, Zheng Liu

Timeline

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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 %
Researcher 2 14%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Unspecified 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 7 50%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 2 14%
Unspecified 1 7%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 April 2023.
All research outputs
#1,134,156
of 25,394,764 outputs
Outputs from Information Fusion
#8
of 548 outputs
Outputs of similar age
#22,837
of 388,775 outputs
Outputs of similar age from Information Fusion
#1
of 6 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 548 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 98% 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 388,775 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 6 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