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A CRISPR way to engineer the human genome

Overview of attention for article published in Genome Biology, February 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
11 X users
patent
3 patents
googleplus
1 Google+ user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
258 Mendeley
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Title
A CRISPR way to engineer the human genome
Published in
Genome Biology, February 2013
DOI 10.1186/gb-2013-14-2-107
Pubmed ID
Authors

Sivaprakash Ramalingam, Narayana Annaluru, Srinivasan Chandrasegaran

Abstract

RNA-guided genome engineering based on the type II prokaryotic CRISPR/Cas system provides an efficient and versatile method for targeted manipulation of mammalian genomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Portugal 3 1%
United Kingdom 2 <1%
Germany 1 <1%
Uruguay 1 <1%
Italy 1 <1%
France 1 <1%
Peru 1 <1%
Canada 1 <1%
Other 2 <1%
Unknown 241 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 24%
Researcher 56 22%
Student > Master 39 15%
Student > Bachelor 31 12%
Student > Doctoral Student 11 4%
Other 36 14%
Unknown 24 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 51%
Biochemistry, Genetics and Molecular Biology 56 22%
Medicine and Dentistry 18 7%
Engineering 5 2%
Immunology and Microbiology 4 2%
Other 18 7%
Unknown 25 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 01 September 2020.
All research outputs
#1,174,447
of 25,374,917 outputs
Outputs from Genome Biology
#880
of 4,467 outputs
Outputs of similar age
#8,490
of 205,037 outputs
Outputs of similar age from Genome Biology
#8
of 42 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% 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 80% 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 205,037 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 95% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.