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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 (Online Edition), 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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
31 tweeters

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
83 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 (Online Edition), November 2018
DOI 10.1186/s13059-018-1575-1
Pubmed ID
Authors

Mengjie Chen, Xiang Zhou

Twitter Demographics

The data shown below were collected from the profiles of 31 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 11 13%
Other 6 7%
Student > Master 6 7%
Student > Bachelor 5 6%
Other 12 14%
Unknown 21 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 23%
Computer Science 16 19%
Agricultural and Biological Sciences 11 13%
Mathematics 2 2%
Physics and Astronomy 2 2%
Other 8 10%
Unknown 25 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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
#1,692,355
of 21,479,159 outputs
Outputs from Genome Biology (Online Edition)
#1,573
of 3,976 outputs
Outputs of similar age
#44,055
of 336,645 outputs
Outputs of similar age from Genome Biology (Online Edition)
#131
of 227 outputs
Altmetric has tracked 21,479,159 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,976 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 336,645 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 86% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.