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Graph convolutional networks: a comprehensive review

Overview of attention for article published in Computational Social Networks, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
9 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
495 Mendeley
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Title
Graph convolutional networks: a comprehensive review
Published in
Computational Social Networks, November 2019
DOI 10.1186/s40649-019-0069-y
Authors

Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 495 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 495 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 22%
Student > Master 79 16%
Researcher 50 10%
Student > Bachelor 30 6%
Student > Doctoral Student 22 4%
Other 56 11%
Unknown 150 30%
Readers by discipline Count As %
Computer Science 178 36%
Engineering 50 10%
Mathematics 16 3%
Physics and Astronomy 14 3%
Agricultural and Biological Sciences 9 2%
Other 60 12%
Unknown 168 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 July 2021.
All research outputs
#4,086,367
of 20,226,324 outputs
Outputs from Computational Social Networks
#7
of 39 outputs
Outputs of similar age
#115,124
of 420,327 outputs
Outputs of similar age from Computational Social Networks
#2
of 7 outputs
Altmetric has tracked 20,226,324 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 32 of them.
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 420,327 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 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.