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Time-course single-cell RNA sequencing reveals transcriptional dynamics and heterogeneity of limbal stem cells derived from human pluripotent stem cells

Overview of attention for article published in Cell & Bioscience, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Time-course single-cell RNA sequencing reveals transcriptional dynamics and heterogeneity of limbal stem cells derived from human pluripotent stem cells
Published in
Cell & Bioscience, January 2021
DOI 10.1186/s13578-021-00541-4
Pubmed ID
Authors

Changbin Sun, Hailun Wang, Qiwang Ma, Chao Chen, Jianhui Yue, Bo Li, Xi Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Doctoral Student 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 3 13%
Student > Master 3 13%
Other 1 4%
Unknown 6 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Engineering 4 17%
Medicine and Dentistry 3 13%
Agricultural and Biological Sciences 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Other 1 4%
Unknown 8 33%
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 27 January 2021.
All research outputs
#13,211,000
of 23,275,636 outputs
Outputs from Cell & Bioscience
#230
of 971 outputs
Outputs of similar age
#226,625
of 504,637 outputs
Outputs of similar age from Cell & Bioscience
#10
of 56 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 971 research outputs from this source. They receive a mean Attention Score of 3.7. 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 504,637 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 54% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.