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SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer

Overview of attention for article published in Frontiers in Neurorobotics, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
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Title
SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer
Published in
Frontiers in Neurorobotics, April 2021
DOI 10.3389/fnbot.2021.665055
Pubmed ID
Authors

Yugang Ma, Qing Li, Nan Hu, Lili Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 8%
Other 1 8%
Lecturer 1 8%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Other 2 17%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 3 25%
Economics, Econometrics and Finance 1 8%
Social Sciences 1 8%
Chemistry 1 8%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 April 2021.
All research outputs
#13,499,698
of 23,287,285 outputs
Outputs from Frontiers in Neurorobotics
#251
of 902 outputs
Outputs of similar age
#199,734
of 431,417 outputs
Outputs of similar age from Frontiers in Neurorobotics
#15
of 41 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 902 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 70% 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 431,417 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 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.