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High throughput single-cell detection of multiplex CRISPR-edited gene modifications

Overview of attention for article published in Genome Biology, October 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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
2 news outlets
twitter
27 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
58 Mendeley
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Title
High throughput single-cell detection of multiplex CRISPR-edited gene modifications
Published in
Genome Biology, October 2020
DOI 10.1186/s13059-020-02174-1
Pubmed ID
Authors

Elisa ten Hacken, Kendell Clement, Shuqiang Li, María Hernández-Sánchez, Robert Redd, Shu Wang, David Ruff, Michaela Gruber, Kaitlyn Baranowski, Jose Jacob, James Flynn, Keith W. Jones, Donna Neuberg, Kenneth J. Livak, Luca Pinello, Catherine J. Wu

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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 24%
Student > Ph. D. Student 11 19%
Student > Bachelor 3 5%
Student > Postgraduate 3 5%
Professor > Associate Professor 3 5%
Other 6 10%
Unknown 18 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 28%
Agricultural and Biological Sciences 8 14%
Computer Science 5 9%
Engineering 4 7%
Medicine and Dentistry 2 3%
Other 5 9%
Unknown 18 31%
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 26 September 2023.
All research outputs
#1,512,352
of 25,554,853 outputs
Outputs from Genome Biology
#1,203
of 4,489 outputs
Outputs of similar age
#40,071
of 440,332 outputs
Outputs of similar age from Genome Biology
#29
of 60 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,489 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 73% 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 440,332 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 90% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.