↓ Skip to main content

CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing

Overview of attention for article published in Genome Biology, February 2019
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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
73 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
104 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
CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing
Published in
Genome Biology, February 2019
DOI 10.1186/s13059-019-1639-x
Pubmed ID
Authors

Kenta Sato, Koki Tsuyuzaki, Kentaro Shimizu, Itoshi Nikaido

X Demographics

X Demographics

The data shown below were collected from the profiles of 73 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Ph. D. Student 17 16%
Student > Master 13 13%
Student > Bachelor 10 10%
Professor 5 5%
Other 9 9%
Unknown 29 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 22%
Agricultural and Biological Sciences 22 21%
Computer Science 10 10%
Medicine and Dentistry 4 4%
Immunology and Microbiology 3 3%
Other 11 11%
Unknown 31 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 23 April 2020.
All research outputs
#907,216
of 25,584,565 outputs
Outputs from Genome Biology
#611
of 4,492 outputs
Outputs of similar age
#22,329
of 457,524 outputs
Outputs of similar age from Genome Biology
#11
of 62 outputs
Altmetric has tracked 25,584,565 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 4,492 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 457,524 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 95% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.