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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Overview of attention for article published in Genome Biology (Online Edition), October 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 (77th percentile)

Mentioned by

blogs
2 blogs
twitter
84 tweeters

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
135 Mendeley
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Title
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Published in
Genome Biology (Online Edition), October 2019
DOI 10.1186/s13059-019-1837-6
Pubmed ID
Authors

Cédric Arisdakessian, Olivier Poirion, Breck Yunits, Xun Zhu, Lana X. Garmire

Twitter Demographics

The data shown below were collected from the profiles of 84 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Researcher 20 15%
Student > Bachelor 11 8%
Student > Master 11 8%
Student > Doctoral Student 9 7%
Other 16 12%
Unknown 39 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 23%
Computer Science 23 17%
Agricultural and Biological Sciences 12 9%
Mathematics 4 3%
Medicine and Dentistry 4 3%
Other 13 10%
Unknown 48 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 12 May 2020.
All research outputs
#569,172
of 19,474,859 outputs
Outputs from Genome Biology (Online Edition)
#454
of 3,841 outputs
Outputs of similar age
#17,769
of 344,682 outputs
Outputs of similar age from Genome Biology (Online Edition)
#67
of 289 outputs
Altmetric has tracked 19,474,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done well, scoring higher than 88% 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 344,682 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 289 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.