↓ Skip to main content

Development and Applications of CRISPR-Cas9 for Genome Engineering

Overview of attention for article published in Cell, June 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

dimensions_citation
4511 Dimensions

Readers on

mendeley
12459 Mendeley
citeulike
11 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
Development and Applications of CRISPR-Cas9 for Genome Engineering
Published in
Cell, June 2014
DOI 10.1016/j.cell.2014.05.010
Pubmed ID
Authors

Patrick D. Hsu, Eric S. Lander, Feng Zhang

Abstract

Recent advances in genome engineering technologies based on the CRISPR-associated RNA-guided endonuclease Cas9 are enabling the systematic interrogation of mammalian genome function. Analogous to the search function in modern word processors, Cas9 can be guided to specific locations within complex genomes by a short RNA search string. Using this system, DNA sequences within the endogenous genome and their functional outputs are now easily edited or modulated in virtually any organism of choice. Cas9-mediated genetic perturbation is simple and scalable, empowering researchers to elucidate the functional organization of the genome at the systems level and establish causal linkages between genetic variations and biological phenotypes. In this Review, we describe the development and applications of Cas9 for a variety of research or translational applications while highlighting challenges as well as future directions. Derived from a remarkable microbial defense system, Cas9 is driving innovative applications from basic biology to biotechnology and medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 156 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 12,459 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 102 <1%
United Kingdom 42 <1%
Germany 38 <1%
Spain 15 <1%
France 13 <1%
Japan 12 <1%
Netherlands 10 <1%
Brazil 9 <1%
China 9 <1%
Other 116 <1%
Unknown 12093 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2477 20%
Student > Bachelor 2402 19%
Researcher 1741 14%
Student > Master 1733 14%
Student > Doctoral Student 501 4%
Other 1501 12%
Unknown 2104 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 3943 32%
Biochemistry, Genetics and Molecular Biology 3651 29%
Medicine and Dentistry 604 5%
Neuroscience 349 3%
Engineering 278 2%
Other 1304 10%
Unknown 2330 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 532. 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 06 March 2024.
All research outputs
#47,039
of 25,593,129 outputs
Outputs from Cell
#328
of 17,238 outputs
Outputs of similar age
#290
of 241,301 outputs
Outputs of similar age from Cell
#4
of 153 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.4. This one has done particularly well, scoring higher than 98% 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 241,301 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 99% of its contemporaries.
We're also able to compare this research output to 153 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 98% of its contemporaries.