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Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects

Overview of attention for article published in Genome Biology, February 2019
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
42 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
2 CiteULike
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Title
Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects
Published in
Genome Biology, February 2019
DOI 10.1186/s13059-019-1637-z
Pubmed ID
Authors

Emanuel Gonçalves, Fiona M. Behan, Sandra Louzada, Damien Arnol, Euan A. Stronach, Fengtang Yang, Kosuke Yusa, Oliver Stegle, Francesco Iorio, Mathew J. Garnett

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 4 11%
Other 2 6%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 11 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 34%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 4 11%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 March 2019.
All research outputs
#1,774,169
of 25,385,509 outputs
Outputs from Genome Biology
#1,472
of 4,468 outputs
Outputs of similar age
#41,976
of 446,056 outputs
Outputs of similar age from Genome Biology
#32
of 63 outputs
Altmetric has tracked 25,385,509 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 4,468 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 67% 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 446,056 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 63 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.