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scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles

Overview of attention for article published in Genome Biology, February 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
23 X users

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
139 Mendeley
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Title
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
Published in
Genome Biology, February 2020
DOI 10.1186/s13059-020-1932-8
Pubmed ID
Authors

Suoqin Jin, Lihua Zhang, Qing Nie

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 27%
Researcher 18 13%
Student > Master 6 4%
Student > Doctoral Student 6 4%
Student > Bachelor 6 4%
Other 16 12%
Unknown 49 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 19%
Computer Science 23 17%
Agricultural and Biological Sciences 16 12%
Mathematics 7 5%
Engineering 7 5%
Other 10 7%
Unknown 50 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 January 2021.
All research outputs
#2,034,117
of 25,563,770 outputs
Outputs from Genome Biology
#1,711
of 4,491 outputs
Outputs of similar age
#49,490
of 474,045 outputs
Outputs of similar age from Genome Biology
#50
of 76 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,491 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 gotten more attention than average, scoring higher than 61% 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 474,045 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.