↓ Skip to main content

Benchmarking UMI-based single-cell RNA-seq preprocessing workflows

Overview of attention for article published in Genome Biology, December 2021
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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
94 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
113 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Benchmarking UMI-based single-cell RNA-seq preprocessing workflows
Published in
Genome Biology, December 2021
DOI 10.1186/s13059-021-02552-3
Pubmed ID
Authors

Yue You, Luyi Tian, Shian Su, Xueyi Dong, Jafar S. Jabbari, Peter F. Hickey, Matthew E. Ritchie

X Demographics

X Demographics

The data shown below were collected from the profiles of 94 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Researcher 16 14%
Student > Master 10 9%
Student > Bachelor 8 7%
Student > Doctoral Student 5 4%
Other 12 11%
Unknown 37 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 34%
Computer Science 6 5%
Agricultural and Biological Sciences 5 4%
Medicine and Dentistry 5 4%
Immunology and Microbiology 3 3%
Other 12 11%
Unknown 44 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 08 August 2023.
All research outputs
#750,073
of 25,506,250 outputs
Outputs from Genome Biology
#490
of 4,484 outputs
Outputs of similar age
#18,608
of 513,203 outputs
Outputs of similar age from Genome Biology
#11
of 86 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 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 89% 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 513,203 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 96% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.