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VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies

Overview of attention for article published in Genome Biology, November 2018
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
30 X users

Citations

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108 Dimensions

Readers on

mendeley
98 Mendeley
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Title
VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies
Published in
Genome Biology, November 2018
DOI 10.1186/s13059-018-1575-1
Pubmed ID
Authors

Mengjie Chen, Xiang Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 24%
Researcher 12 12%
Student > Master 7 7%
Student > Bachelor 6 6%
Student > Doctoral Student 4 4%
Other 14 14%
Unknown 31 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 21%
Computer Science 16 16%
Agricultural and Biological Sciences 12 12%
Neuroscience 3 3%
Mathematics 2 2%
Other 9 9%
Unknown 35 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 04 June 2022.
All research outputs
#2,060,645
of 25,385,509 outputs
Outputs from Genome Biology
#1,743
of 4,468 outputs
Outputs of similar age
#42,043
of 356,169 outputs
Outputs of similar age from Genome Biology
#41
of 84 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 60% 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 356,169 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 88% of its contemporaries.
We're also able to compare this research output to 84 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 51% of its contemporaries.