↓ Skip to main content

Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows

Overview of attention for article published in Genome Biology (Online Edition), June 2020
Altmetric Badge

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 (92nd percentile)

Mentioned by

blogs
1 blog
twitter
59 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
196 Dimensions

Readers on

mendeley
419 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
Published in
Genome Biology (Online Edition), June 2020
DOI 10.1186/s13059-020-02048-6
Pubmed ID
Authors

Elena Denisenko, Belinda B. Guo, Matthew Jones, Rui Hou, Leanne de Kock, Timo Lassmann, Daniel Poppe, Olivier Clément, Rebecca K. Simmons, Ryan Lister, Alistair R. R. Forrest

Twitter Demographics

The data shown below were collected from the profiles of 59 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 419 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 419 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 20%
Researcher 80 19%
Student > Master 44 11%
Student > Bachelor 33 8%
Student > Doctoral Student 25 6%
Other 49 12%
Unknown 105 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 126 30%
Agricultural and Biological Sciences 51 12%
Medicine and Dentistry 27 6%
Neuroscience 24 6%
Immunology and Microbiology 21 5%
Other 44 11%
Unknown 126 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 28 April 2022.
All research outputs
#845,287
of 22,353,257 outputs
Outputs from Genome Biology (Online Edition)
#673
of 4,068 outputs
Outputs of similar age
#22,669
of 309,196 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 22,353,257 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,068 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 83% 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 309,196 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 92% 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