↓ Skip to main content

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

Overview of attention for article published in Genome Biology (Online Edition), October 2018
Altmetric Badge

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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
45 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CRISPRO: identification of functional protein coding sequences based on genome editing dense mutagenesis
Published in
Genome Biology (Online Edition), 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

Twitter Demographics

The data shown below were collected from the profiles of 45 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 14 22%
Other 5 8%
Student > Master 5 8%
Professor > Associate Professor 4 6%
Other 7 11%
Unknown 10 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 32%
Agricultural and Biological Sciences 17 27%
Computer Science 5 8%
Medicine and Dentistry 5 8%
Immunology and Microbiology 2 3%
Other 4 6%
Unknown 10 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 08 December 2018.
All research outputs
#859,595
of 19,023,266 outputs
Outputs from Genome Biology (Online Edition)
#761
of 3,792 outputs
Outputs of similar age
#26,716
of 336,704 outputs
Outputs of similar age from Genome Biology (Online Edition)
#69
of 227 outputs
Altmetric has tracked 19,023,266 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has done well, scoring higher than 79% 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 336,704 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 92% of its contemporaries.
We're also able to compare this research output to 227 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 70% of its contemporaries.