↓ Skip to main content

Michigan Publishing

Jointly defining cell types from multiple single-cell datasets using LIGER

Overview of attention for article published in Nature Protocols, October 2020
Altmetric Badge

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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
57 X users

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
202 Mendeley
Title
Jointly defining cell types from multiple single-cell datasets using LIGER
Published in
Nature Protocols, October 2020
DOI 10.1038/s41596-020-0391-8
Pubmed ID
Authors

Jialin Liu, Chao Gao, Joshua Sodicoff, Velina Kozareva, Evan Z. Macosko, Joshua D. Welch

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 202 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 21%
Researcher 41 20%
Student > Master 12 6%
Student > Bachelor 12 6%
Student > Doctoral Student 9 4%
Other 26 13%
Unknown 59 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 57 28%
Agricultural and Biological Sciences 27 13%
Neuroscience 13 6%
Computer Science 10 5%
Engineering 6 3%
Other 23 11%
Unknown 66 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 December 2021.
All research outputs
#1,237,470
of 25,359,594 outputs
Outputs from Nature Protocols
#348
of 2,934 outputs
Outputs of similar age
#32,873
of 424,646 outputs
Outputs of similar age from Nature Protocols
#13
of 38 outputs
Altmetric has tracked 25,359,594 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 2,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 88% 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 424,646 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 38 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 68% of its contemporaries.