↓ Skip to main content

Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR

Overview of attention for article published in Genome Biology, December 2015
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 (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
2 news outlets
twitter
10 X users
patent
2 patents
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
336 Dimensions

Readers on

mendeley
491 Mendeley
citeulike
1 CiteULike
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
Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0843-6
Pubmed ID
Authors

Wei Li, Johannes Köster, Han Xu, Chen-Hao Chen, Tengfei Xiao, Jun S. Liu, Myles Brown, X. Shirley Liu

Abstract

High-throughput CRISPR screens have shown great promise in functional genomics. We present MAGeCK-VISPR, a comprehensive quality control (QC), analysis, and visualization workflow for CRISPR screens. MAGeCK-VISPR defines a set of QC measures to assess the quality of an experiment, and includes a maximum-likelihood algorithm to call essential genes simultaneously under multiple conditions. The algorithm uses a generalized linear model to deconvolute different effects, and employs expectation-maximization to iteratively estimate sgRNA knockout efficiency and gene essentiality. MAGeCK-VISPR also includes VISPR, a framework for the interactive visualization and exploration of QC and analysis results. MAGeCK-VISPR is freely available at http://bitbucket.org/liulab/mageck-vispr .

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 491 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 <1%
Switzerland 1 <1%
Germany 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 485 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 26%
Researcher 108 22%
Student > Master 52 11%
Student > Bachelor 35 7%
Student > Doctoral Student 23 5%
Other 48 10%
Unknown 96 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 184 37%
Agricultural and Biological Sciences 100 20%
Medicine and Dentistry 25 5%
Immunology and Microbiology 16 3%
Computer Science 15 3%
Other 51 10%
Unknown 100 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 January 2024.
All research outputs
#1,299,323
of 25,373,627 outputs
Outputs from Genome Biology
#1,005
of 4,467 outputs
Outputs of similar age
#21,756
of 395,908 outputs
Outputs of similar age from Genome Biology
#30
of 78 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 77% 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 395,908 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 94% of its contemporaries.
We're also able to compare this research output to 78 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 61% of its contemporaries.