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ACE: a probabilistic model for characterizing gene-level essentiality in CRISPR screens

Overview of attention for article published in Genome Biology, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
14 X users

Citations

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3 Dimensions

Readers on

mendeley
28 Mendeley
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Title
ACE: a probabilistic model for characterizing gene-level essentiality in CRISPR screens
Published in
Genome Biology, September 2021
DOI 10.1186/s13059-021-02491-z
Pubmed ID
Authors

Elizabeth R. Hutton, Christopher R. Vakoc, Adam Siepel

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Ph. D. Student 6 21%
Student > Bachelor 3 11%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 1 4%
Unknown 8 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 43%
Agricultural and Biological Sciences 3 11%
Computer Science 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Medicine and Dentistry 1 4%
Other 2 7%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 October 2021.
All research outputs
#5,245,461
of 25,392,582 outputs
Outputs from Genome Biology
#2,861
of 4,470 outputs
Outputs of similar age
#109,734
of 434,935 outputs
Outputs of similar age from Genome Biology
#63
of 81 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% 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 is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 434,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.