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DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging Data

Overview of attention for article published in Frontiers in Genetics, March 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
37 Mendeley
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Title
DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging Data
Published in
Frontiers in Genetics, March 2021
DOI 10.3389/fgene.2021.636743
Pubmed ID
Authors

Floyd Maseda, Zixuan Cang, Qing Nie

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Master 5 14%
Researcher 4 11%
Student > Bachelor 2 5%
Professor 1 3%
Other 1 3%
Unknown 17 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 27%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Physics and Astronomy 2 5%
Mathematics 1 3%
Other 4 11%
Unknown 16 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 April 2021.
All research outputs
#14,550,455
of 23,302,246 outputs
Outputs from Frontiers in Genetics
#4,051
of 12,321 outputs
Outputs of similar age
#229,617
of 429,171 outputs
Outputs of similar age from Frontiers in Genetics
#162
of 498 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,321 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% 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 429,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 498 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 63% of its contemporaries.