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CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data

Overview of attention for article published in Nature Methods, November 2018
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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 (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
39 Mendeley
Title
CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
Published in
Nature Methods, November 2018
DOI 10.1038/s41592-018-0225-6
Pubmed ID
Authors

Jonathan Y. Hsu, Charles P. Fulco, Mitchel A. Cole, Matthew C. Canver, Danilo Pellin, Falak Sher, Rick Farouni, Kendell Clement, Jimmy A. Guo, Luca Biasco, Stuart H. Orkin, Jesse M. Engreitz, Eric S. Lander, J. Keith Joung, Daniel E. Bauer, Luca Pinello

Twitter Demographics

The data shown below were collected from the profiles of 8 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 9 23%
Unspecified 6 15%
Student > Master 4 10%
Student > Bachelor 3 8%
Other 8 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 28%
Agricultural and Biological Sciences 11 28%
Unspecified 6 15%
Computer Science 3 8%
Medicine and Dentistry 3 8%
Other 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 March 2019.
All research outputs
#3,042,880
of 13,330,800 outputs
Outputs from Nature Methods
#2,245
of 3,782 outputs
Outputs of similar age
#99,762
of 330,189 outputs
Outputs of similar age from Nature Methods
#60
of 92 outputs
Altmetric has tracked 13,330,800 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,782 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one is in the 40th percentile – i.e., 40% 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 330,189 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 69% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.