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Metacell-2: a divide-and-conquer metacell algorithm for scalable scRNA-seq analysis

Overview of attention for article published in Genome Biology, April 2022
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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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
25 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Metacell-2: a divide-and-conquer metacell algorithm for scalable scRNA-seq analysis
Published in
Genome Biology, April 2022
DOI 10.1186/s13059-022-02667-1
Pubmed ID
Authors

Oren Ben-Kiki, Akhiad Bercovich, Aviezer Lifshitz, Amos Tanay

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 11 15%
Student > Master 3 4%
Professor 2 3%
Other 2 3%
Other 7 10%
Unknown 27 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 36%
Agricultural and Biological Sciences 8 11%
Computer Science 5 7%
Unspecified 2 3%
Mathematics 1 1%
Other 3 4%
Unknown 27 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 12 September 2023.
All research outputs
#1,430,062
of 25,460,914 outputs
Outputs from Genome Biology
#1,135
of 4,475 outputs
Outputs of similar age
#33,836
of 446,158 outputs
Outputs of similar age from Genome Biology
#22
of 51 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,475 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 74% 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 446,158 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 51 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 58% of its contemporaries.