↓ Skip to main content

Guide Picker is a comprehensive design tool for visualizing and selecting guides for CRISPR experiments

Overview of attention for article published in BMC Bioinformatics, March 2017
Altmetric Badge

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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
6 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
73 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
Guide Picker is a comprehensive design tool for visualizing and selecting guides for CRISPR experiments
Published in
BMC Bioinformatics, March 2017
DOI 10.1186/s12859-017-1581-4
Pubmed ID
Authors

Soren H. Hough, Kris Kancleris, Leigh Brody, Neil Humphryes-Kirilov, Joseph Wolanski, Keith Dunaway, Ayokunmi Ajetunmobi, Victor Dillard

Abstract

Guide Picker ( https://www.deskgen.com/guide-picker/ ) serves as a meta tool for designing CRISPR experiments by presenting ten different guide RNA scoring functions in one simple graphical interface. It allows investigators to simultaneously visualize and sort through every guide targeting the protein-coding regions of any mouse or human gene. Utilizing a multidimensional graphical display featuring two plots and four axes, Guide Picker can analyze all guides while filtering based on four different criteria at a time. Guide Picker further facilitates the CRISPR design process by using pre-computed scores for all guides, thereby offering rapid guide RNA generation and selection. The ease-of-use of Guide Picker complements CRISPR itself, matching a powerful and modular biological system with a flexible online web tool that can be used in a variety of genome editing experimental contexts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 18%
Student > Ph. D. Student 11 15%
Student > Bachelor 9 12%
Student > Master 6 8%
Other 5 7%
Other 15 21%
Unknown 14 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 27%
Agricultural and Biological Sciences 17 23%
Engineering 4 5%
Computer Science 4 5%
Immunology and Microbiology 3 4%
Other 8 11%
Unknown 17 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 July 2017.
All research outputs
#2,426,768
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#691
of 7,454 outputs
Outputs of similar age
#46,844
of 309,922 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 122 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 90% 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 309,922 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.