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Structural centrality of networks can improve the diffusion-based recommendation algorithm

Overview of attention for article published in Frontiers in Physics, October 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users

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1 Mendeley
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Title
Structural centrality of networks can improve the diffusion-based recommendation algorithm
Published in
Frontiers in Physics, October 2022
DOI 10.3389/fphy.2022.1018781
Authors

Yixiu Kong, Yizhong Hu, Xinyu Zhang, Cheng Wang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
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 18 December 2022.
All research outputs
#18,860,161
of 23,372,207 outputs
Outputs from Frontiers in Physics
#1,041
of 3,729 outputs
Outputs of similar age
#309,701
of 446,574 outputs
Outputs of similar age from Frontiers in Physics
#67
of 437 outputs
Altmetric has tracked 23,372,207 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,729 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 55% 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 446,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 437 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.