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A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Overview of attention for article published in Genome Biology (Online Edition), January 2020
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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 (97th percentile)

Mentioned by

blogs
1 blog
twitter
176 tweeters
facebook
1 Facebook page
f1000
1 research highlight platform

Readers on

mendeley
560 Mendeley
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Title
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Published in
Genome Biology (Online Edition), January 2020
DOI 10.1186/s13059-019-1850-9
Pubmed ID
Authors

Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen

Twitter Demographics

The data shown below were collected from the profiles of 176 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 560 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 560 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 116 21%
Researcher 107 19%
Student > Master 52 9%
Student > Bachelor 45 8%
Student > Doctoral Student 27 5%
Other 61 11%
Unknown 152 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 168 30%
Agricultural and Biological Sciences 72 13%
Computer Science 41 7%
Medicine and Dentistry 30 5%
Immunology and Microbiology 24 4%
Other 60 11%
Unknown 165 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 February 2021.
All research outputs
#279,819
of 19,509,823 outputs
Outputs from Genome Biology (Online Edition)
#184
of 3,841 outputs
Outputs of similar age
#7,765
of 352,850 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,509,823 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th 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 particularly well, scoring higher than 95% 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 352,850 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 97% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them