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CRISPRO: identification of functional protein coding sequences based on genome editing dense mutagenesis

Overview of attention for article published in Genome Biology, October 2018
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
39 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
81 Mendeley
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Title
CRISPRO: identification of functional protein coding sequences based on genome editing dense mutagenesis
Published in
Genome Biology, October 2018
DOI 10.1186/s13059-018-1563-5
Pubmed ID
Authors

Vivien A. C. Schoonenberg, Mitchel A. Cole, Qiuming Yao, Claudio Macias-Treviño, Falak Sher, Patrick G. Schupp, Matthew C. Canver, Takahiro Maeda, Luca Pinello, Daniel E. Bauer

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 26%
Student > Ph. D. Student 15 19%
Student > Master 9 11%
Other 5 6%
Student > Postgraduate 4 5%
Other 11 14%
Unknown 16 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 32%
Agricultural and Biological Sciences 19 23%
Medicine and Dentistry 6 7%
Computer Science 5 6%
Neuroscience 2 2%
Other 7 9%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 07 December 2018.
All research outputs
#1,378,894
of 25,498,750 outputs
Outputs from Genome Biology
#1,080
of 4,482 outputs
Outputs of similar age
#29,484
of 360,955 outputs
Outputs of similar age from Genome Biology
#28
of 86 outputs
Altmetric has tracked 25,498,750 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 4,482 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 well, scoring higher than 75% 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 360,955 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 91% of its contemporaries.
We're also able to compare this research output to 86 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 68% of its contemporaries.