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EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

Overview of attention for article published in Genome Biology, March 2019
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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 (66th percentile)

Mentioned by

blogs
1 blog
twitter
69 X users

Citations

dimensions_citation
641 Dimensions

Readers on

mendeley
499 Mendeley
citeulike
2 CiteULike
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Title
EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data
Published in
Genome Biology, March 2019
DOI 10.1186/s13059-019-1662-y
Pubmed ID
Authors

Aaron T. L. Lun, Samantha Riesenfeld, Tallulah Andrews, The Phuong Dao, Tomas Gomes, John C. Marioni

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 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 499 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 499 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 120 24%
Researcher 92 18%
Student > Master 57 11%
Student > Bachelor 50 10%
Student > Doctoral Student 22 4%
Other 57 11%
Unknown 101 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 149 30%
Agricultural and Biological Sciences 88 18%
Immunology and Microbiology 33 7%
Medicine and Dentistry 31 6%
Neuroscience 24 5%
Other 63 13%
Unknown 111 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 2023.
All research outputs
#904,404
of 25,394,764 outputs
Outputs from Genome Biology
#618
of 4,470 outputs
Outputs of similar age
#21,082
of 363,503 outputs
Outputs of similar age from Genome Biology
#20
of 60 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 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 363,503 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 60 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 66% of its contemporaries.