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Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning

Overview of attention for article published in ACM Transactions on Knowledge Discovery from Data, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
6 Mendeley
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Title
Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning
Published in
ACM Transactions on Knowledge Discovery from Data, February 2023
DOI 10.1145/3551642
Authors

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Unspecified 1 17%
Researcher 1 17%
Other 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Unspecified 1 17%
Unknown 1 17%
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 23 September 2022.
All research outputs
#14,614,223
of 23,393,453 outputs
Outputs from ACM Transactions on Knowledge Discovery from Data
#107
of 228 outputs
Outputs of similar age
#138,699
of 315,756 outputs
Outputs of similar age from ACM Transactions on Knowledge Discovery from Data
#1
of 2 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 48th percentile – i.e., 48% 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 315,756 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 52% of its contemporaries.
We're also able to compare this research output to 2 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