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Demystifying “drop-outs” in single-cell UMI data

Overview of attention for article published in Genome Biology, August 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
43 X users
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
127 Mendeley
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Title
Demystifying “drop-outs” in single-cell UMI data
Published in
Genome Biology, August 2020
DOI 10.1186/s13059-020-02096-y
Pubmed ID
Authors

Tae Hyun Kim, Xiang Zhou, Mengjie Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Researcher 21 17%
Student > Bachelor 17 13%
Other 6 5%
Student > Postgraduate 6 5%
Other 15 12%
Unknown 32 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 31%
Agricultural and Biological Sciences 17 13%
Computer Science 15 12%
Neuroscience 4 3%
Social Sciences 3 2%
Other 14 11%
Unknown 34 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 20 December 2022.
All research outputs
#1,699,043
of 25,387,668 outputs
Outputs from Genome Biology
#1,388
of 4,470 outputs
Outputs of similar age
#46,783
of 426,389 outputs
Outputs of similar age from Genome Biology
#53
of 101 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 68% 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 426,389 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.