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Assessment of computational methods for the analysis of single-cell ATAC-seq data

Overview of attention for article published in Genome Biology (Online Edition), November 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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
81 tweeters
patent
1 patent
reddit
2 Redditors
f1000
1 research highlight platform

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
518 Mendeley
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Title
Assessment of computational methods for the analysis of single-cell ATAC-seq data
Published in
Genome Biology (Online Edition), November 2019
DOI 10.1186/s13059-019-1854-5
Pubmed ID
Authors

Huidong Chen, Caleb Lareau, Tommaso Andreani, Michael E. Vinyard, Sara P. Garcia, Kendell Clement, Miguel A. Andrade-Navarro, Jason D. Buenrostro, Luca Pinello

Twitter Demographics

The data shown below were collected from the profiles of 81 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 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 518 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 139 27%
Researcher 76 15%
Student > Bachelor 44 8%
Student > Master 41 8%
Student > Doctoral Student 28 5%
Other 56 11%
Unknown 134 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 175 34%
Agricultural and Biological Sciences 76 15%
Computer Science 38 7%
Medicine and Dentistry 17 3%
Neuroscience 17 3%
Other 52 10%
Unknown 143 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 27 May 2022.
All research outputs
#628,704
of 21,875,616 outputs
Outputs from Genome Biology (Online Edition)
#469
of 4,012 outputs
Outputs of similar age
#19,340
of 438,806 outputs
Outputs of similar age from Genome Biology (Online Edition)
#65
of 289 outputs
Altmetric has tracked 21,875,616 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 4,012 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 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 438,806 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 95% 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.