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GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases

Overview of attention for article published in BMC Genomics, May 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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9 X users

Citations

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36 Dimensions

Readers on

mendeley
69 Mendeley
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Title
GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3746-y
Pubmed ID
Authors

Lihua Julie Zhu, Michael Lawrence, Ankit Gupta, Hervé Pagès, Alper Kucukural, Manuel Garber, Scot A. Wolfe

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 28%
Student > Bachelor 7 10%
Student > Master 7 10%
Professor > Associate Professor 6 9%
Other 6 9%
Other 11 16%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 26%
Biochemistry, Genetics and Molecular Biology 14 20%
Medicine and Dentistry 6 9%
Immunology and Microbiology 4 6%
Computer Science 3 4%
Other 12 17%
Unknown 12 17%
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 28 June 2018.
All research outputs
#7,146,886
of 25,837,817 outputs
Outputs from BMC Genomics
#2,920
of 11,367 outputs
Outputs of similar age
#105,227
of 327,710 outputs
Outputs of similar age from BMC Genomics
#60
of 215 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 74% 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 327,710 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 67% of its contemporaries.
We're also able to compare this research output to 215 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 72% of its contemporaries.