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De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc

Overview of attention for article published in Genome Biology, June 2022
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
2 news outlets
twitter
41 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
48 Mendeley
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Title
De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc
Published in
Genome Biology, June 2022
DOI 10.1186/s13059-022-02692-0
Pubmed ID
Authors

Runze Li, Xuerui Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 19%
Researcher 4 8%
Student > Master 2 4%
Student > Bachelor 2 4%
Unspecified 1 2%
Other 0 0%
Unknown 30 63%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 5 10%
Computer Science 2 4%
Mathematics 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 31 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 March 2023.
All research outputs
#1,122,787
of 25,809,907 outputs
Outputs from Genome Biology
#804
of 4,521 outputs
Outputs of similar age
#26,179
of 449,846 outputs
Outputs of similar age from Genome Biology
#19
of 59 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,521 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 82% 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 449,846 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 94% of its contemporaries.
We're also able to compare this research output to 59 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 67% of its contemporaries.