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scMC learns biological variation through the alignment of multiple single-cell genomics datasets

Overview of attention for article published in Genome Biology (Online Edition), January 2021
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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 (84th percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
47 Mendeley
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Title
scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Published in
Genome Biology (Online Edition), January 2021
DOI 10.1186/s13059-020-02238-2
Pubmed ID
Authors

Lihua Zhang, Qing Nie

Twitter Demographics

The data shown below were collected from the profiles of 26 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 36%
Student > Bachelor 5 11%
Researcher 4 9%
Student > Master 3 6%
Student > Postgraduate 2 4%
Other 5 11%
Unknown 11 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 23%
Computer Science 8 17%
Agricultural and Biological Sciences 8 17%
Engineering 3 6%
Mathematics 2 4%
Other 4 9%
Unknown 11 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 January 2021.
All research outputs
#1,872,985
of 18,226,033 outputs
Outputs from Genome Biology (Online Edition)
#1,682
of 3,712 outputs
Outputs of similar age
#65,489
of 418,065 outputs
Outputs of similar age from Genome Biology (Online Edition)
#212
of 299 outputs
Altmetric has tracked 18,226,033 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 54% 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 418,065 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 84% of its contemporaries.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.