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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
175 tweeters
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
360 Dimensions

Readers on

mendeley
669 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 175 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 669 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 669 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 21%
Researcher 122 18%
Student > Master 64 10%
Student > Bachelor 52 8%
Student > Doctoral Student 28 4%
Other 87 13%
Unknown 178 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 201 30%
Agricultural and Biological Sciences 71 11%
Computer Science 47 7%
Medicine and Dentistry 33 5%
Immunology and Microbiology 28 4%
Other 95 14%
Unknown 194 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 102. 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 10 August 2022.
All research outputs
#323,187
of 21,790,947 outputs
Outputs from Genome Biology (Online Edition)
#205
of 4,007 outputs
Outputs of similar age
#8,254
of 369,734 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,790,947 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 4,007 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 done particularly well, scoring higher than 94% 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 369,734 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