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dropEst: pipeline for accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments

Overview of attention for article published in Genome Biology, June 2018
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
4 blogs
twitter
28 X users

Citations

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165 Dimensions

Readers on

mendeley
283 Mendeley
citeulike
1 CiteULike
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Title
dropEst: pipeline for accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments
Published in
Genome Biology, June 2018
DOI 10.1186/s13059-018-1449-6
Pubmed ID
Authors

Viktor Petukhov, Jimin Guo, Ninib Baryawno, Nicolas Severe, David T. Scadden, Maria G. Samsonova, Peter V. Kharchenko

Abstract

Recent single-cell RNA-seq protocols based on droplet microfluidics use massively multiplexed barcoding to enable simultaneous measurements of transcriptomes for thousands of individual cells. The increasing complexity of such data creates challenges for subsequent computational processing and troubleshooting of these experiments, with few software options currently available. Here, we describe a flexible pipeline for processing droplet-based transcriptome data that implements barcode corrections, classification of cell quality, and diagnostic information about the droplet libraries. We introduce advanced methods for correcting composition bias and sequencing errors affecting cellular and molecular barcodes to provide more accurate estimates of molecular counts in individual cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 283 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 23%
Student > Ph. D. Student 63 22%
Student > Master 33 12%
Student > Bachelor 13 5%
Professor 12 4%
Other 32 11%
Unknown 65 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 95 34%
Agricultural and Biological Sciences 51 18%
Medicine and Dentistry 13 5%
Computer Science 11 4%
Immunology and Microbiology 9 3%
Other 32 11%
Unknown 72 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 19 January 2023.
All research outputs
#995,326
of 25,385,509 outputs
Outputs from Genome Biology
#702
of 4,468 outputs
Outputs of similar age
#21,469
of 341,602 outputs
Outputs of similar age from Genome Biology
#8
of 46 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 96th percentile: it's in the top 5% 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 done well, scoring higher than 84% 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 341,602 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 93% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.