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Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis

Overview of attention for article published in Genome Biology (Online Edition), December 2019
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
75 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
8 Dimensions
Title
Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
Published in
Genome Biology (Online Edition), December 2019
DOI 10.1186/s13059-019-1898-6
Pubmed ID
Authors

Shiquan Sun, Jiaqiang Zhu, Ying Ma, Xiang Zhou

Twitter Demographics

The data shown below were collected from the profiles of 75 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 14 May 2020.
All research outputs
#516,632
of 15,094,394 outputs
Outputs from Genome Biology (Online Edition)
#479
of 3,275 outputs
Outputs of similar age
#19,956
of 341,004 outputs
Outputs of similar age from Genome Biology (Online Edition)
#84
of 290 outputs
Altmetric has tracked 15,094,394 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 3,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.9. This one has done well, scoring higher than 85% 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 341,004 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 94% of its contemporaries.
We're also able to compare this research output to 290 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 71% of its contemporaries.