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scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Overview of attention for article published in Nature Communications, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
39 tweeters

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
212 Mendeley
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Title
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Published in
Nature Communications, March 2021
DOI 10.1038/s41467-021-22197-x
Pubmed ID
Authors

Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong Xu

Twitter Demographics

The data shown below were collected from the profiles of 39 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 212 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 20%
Researcher 31 15%
Student > Master 21 10%
Student > Bachelor 18 8%
Student > Doctoral Student 6 3%
Other 18 8%
Unknown 75 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 19%
Computer Science 32 15%
Agricultural and Biological Sciences 12 6%
Engineering 8 4%
Neuroscience 7 3%
Other 33 16%
Unknown 79 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 17 April 2022.
All research outputs
#360,311
of 22,414,005 outputs
Outputs from Nature Communications
#6,100
of 45,662 outputs
Outputs of similar age
#10,285
of 332,208 outputs
Outputs of similar age from Nature Communications
#2
of 8 outputs
Altmetric has tracked 22,414,005 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 45,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done well, scoring higher than 86% 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 332,208 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 96% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.