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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

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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7 X users
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1 research highlight platform

Citations

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34 Dimensions

Readers on

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89 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 16 18%
Student > Master 9 10%
Student > Doctoral Student 7 8%
Student > Bachelor 5 6%
Other 15 17%
Unknown 21 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 31%
Agricultural and Biological Sciences 18 20%
Immunology and Microbiology 6 7%
Computer Science 4 4%
Medicine and Dentistry 3 3%
Other 7 8%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#6,263,430
of 23,500,709 outputs
Outputs from Nature Methods
#3,438
of 5,033 outputs
Outputs of similar age
#125,953
of 439,551 outputs
Outputs of similar age from Nature Methods
#75
of 116 outputs
Altmetric has tracked 23,500,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 5,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.3. This one is in the 31st percentile – i.e., 31% 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 439,551 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 71% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.