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Graph Lifelong Learning: A Survey

Overview of attention for article published in IEEE Computational Intelligence Magazine, February 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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15 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Graph Lifelong Learning: A Survey
Published in
IEEE Computational Intelligence Magazine, February 2023
DOI 10.1109/mci.2022.3222049
Authors

Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Lecturer 4 7%
Student > Postgraduate 3 5%
Lecturer > Senior Lecturer 2 4%
Student > Bachelor 2 4%
Other 8 14%
Unknown 27 47%
Readers by discipline Count As %
Computer Science 16 28%
Engineering 7 12%
Social Sciences 2 4%
Unspecified 1 2%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 30 53%
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 26 January 2023.
All research outputs
#15,605,323
of 23,202,641 outputs
Outputs from IEEE Computational Intelligence Magazine
#131
of 400 outputs
Outputs of similar age
#156,533
of 304,568 outputs
Outputs of similar age from IEEE Computational Intelligence Magazine
#1
of 1 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 400 research outputs from this source. They receive a mean Attention Score of 1.8. This one has gotten more attention than average, scoring higher than 61% 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 304,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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