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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 (Online Edition), 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)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
155 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
183 Mendeley
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Title
ACME dissociation: a versatile cell fixation-dissociation method for single-cell transcriptomics
Published in
Genome Biology (Online Edition), 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

Twitter Demographics

The data shown below were collected from the profiles of 155 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 183 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 25%
Researcher 42 23%
Student > Master 15 8%
Student > Postgraduate 11 6%
Student > Bachelor 9 5%
Other 26 14%
Unknown 34 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 69 38%
Agricultural and Biological Sciences 41 22%
Environmental Science 5 3%
Immunology and Microbiology 4 2%
Neuroscience 4 2%
Other 18 10%
Unknown 42 23%

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 19 January 2022.
All research outputs
#172,486
of 21,796,013 outputs
Outputs from Genome Biology (Online Edition)
#70
of 4,007 outputs
Outputs of similar age
#5,269
of 333,424 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,796,013 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 4,007 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 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 333,424 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 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