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GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

Overview of attention for article published in Genome Biology, December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
25 X users
f1000
1 research highlight platform

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
179 Mendeley
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Title
GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data
Published in
Genome Biology, December 2020
DOI 10.1186/s13059-020-02214-w
Pubmed ID
Authors

Ye Yuan, Ziv Bar-Joseph

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 179 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 21%
Researcher 27 15%
Student > Bachelor 14 8%
Student > Master 9 5%
Other 6 3%
Other 20 11%
Unknown 66 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 21%
Computer Science 30 17%
Agricultural and Biological Sciences 14 8%
Mathematics 7 4%
Neuroscience 3 2%
Other 19 11%
Unknown 69 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 28 December 2022.
All research outputs
#1,400,942
of 25,528,120 outputs
Outputs from Genome Biology
#1,100
of 4,486 outputs
Outputs of similar age
#37,440
of 521,024 outputs
Outputs of similar age from Genome Biology
#26
of 81 outputs
Altmetric has tracked 25,528,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 75% 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 521,024 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 81 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 69% of its contemporaries.