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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
83 Dimensions

Readers on

mendeley
82 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 26%
Researcher 11 13%
Student > Master 6 7%
Student > Bachelor 5 6%
Other 5 6%
Other 12 15%
Unknown 22 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 21%
Computer Science 16 20%
Agricultural and Biological Sciences 11 13%
Mathematics 2 2%
Physics and Astronomy 2 2%
Other 8 10%
Unknown 26 32%

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
#1,740,747
of 21,940,852 outputs
Outputs from Genome Biology (Online Edition)
#1,600
of 4,019 outputs
Outputs of similar age
#44,396
of 338,110 outputs
Outputs of similar age from Genome Biology (Online Edition)
#130
of 227 outputs
Altmetric has tracked 21,940,852 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 4,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. 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 338,110 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.