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ACME dissociation: a versatile cell fixation-dissociation method for single-cell transcriptomics

Overview of attention for article published in Genome Biology, April 2021
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
11 news outlets
blogs
2 blogs
twitter
153 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
233 Mendeley
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Title
ACME dissociation: a versatile cell fixation-dissociation method for single-cell transcriptomics
Published in
Genome Biology, April 2021
DOI 10.1186/s13059-021-02302-5
Pubmed ID
Authors

Helena García-Castro, Nathan J. Kenny, Marta Iglesias, Patricia Álvarez-Campos, Vincent Mason, Anamaria Elek, Anna Schönauer, Victoria A. Sleight, Jakke Neiro, Aziz Aboobaker, Jon Permanyer, Manuel Irimia, Arnau Sebé-Pedrós, Jordi Solana

X Demographics

X Demographics

The data shown below were collected from the profiles of 153 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 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 25%
Student > Ph. D. Student 53 23%
Student > Master 20 9%
Student > Bachelor 15 6%
Other 10 4%
Other 31 13%
Unknown 45 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 85 36%
Agricultural and Biological Sciences 56 24%
Neuroscience 8 3%
Environmental Science 6 3%
Immunology and Microbiology 5 2%
Other 17 7%
Unknown 56 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 177. 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 06 November 2023.
All research outputs
#227,690
of 25,387,668 outputs
Outputs from Genome Biology
#78
of 4,470 outputs
Outputs of similar age
#6,924
of 454,313 outputs
Outputs of similar age from Genome Biology
#2
of 89 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 done particularly well, scoring higher than 98% 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 454,313 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 98% of its contemporaries.
We're also able to compare this research output to 89 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 97% of its contemporaries.