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A robust nonlinear low-dimensional manifold for single cell RNA-seq data

Overview of attention for article published in BMC Bioinformatics, July 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)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
27 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
66 Mendeley
Title
A robust nonlinear low-dimensional manifold for single cell RNA-seq data
Published in
BMC Bioinformatics, July 2020
DOI 10.1186/s12859-020-03625-z
Pubmed ID
Authors

Archit Verma, Barbara E. Engelhardt

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 14 21%
Student > Bachelor 10 15%
Student > Doctoral Student 6 9%
Student > Master 4 6%
Other 6 9%
Unknown 12 18%
Readers by discipline Count As %
Computer Science 16 24%
Agricultural and Biological Sciences 12 18%
Biochemistry, Genetics and Molecular Biology 10 15%
Mathematics 4 6%
Immunology and Microbiology 2 3%
Other 9 14%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 September 2023.
All research outputs
#1,543,089
of 25,457,297 outputs
Outputs from BMC Bioinformatics
#220
of 7,705 outputs
Outputs of similar age
#43,168
of 429,773 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 118 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,705 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 429,773 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 118 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.