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A parameterised model for link prediction using node centrality and similarity measure based on graph embedding

Overview of attention for article published in Neurocomputing, August 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
1 Mendeley
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Title
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding
Published in
Neurocomputing, August 2024
DOI 10.1016/j.neucom.2024.127820
Authors

Haohui Lu, Shahadat Uddin

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 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 %
Unknown 1 100%
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 18 May 2024.
All research outputs
#15,547,950
of 25,956,379 outputs
Outputs from Neurocomputing
#1,303
of 3,071 outputs
Outputs of similar age
#1,930
of 4,548 outputs
Outputs of similar age from Neurocomputing
#1
of 15 outputs
Altmetric has tracked 25,956,379 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,071 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 56% 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 4,548 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 56% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.