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RNA-Guided Human Genome Engineering via Cas9

Overview of attention for article published in Science, January 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
7869 Dimensions

Readers on

mendeley
9741 Mendeley
citeulike
17 CiteULike
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Title
RNA-Guided Human Genome Engineering via Cas9
Published in
Science, January 2013
DOI 10.1126/science.1232033
Pubmed ID
Authors

Prashant Mali, Luhan Yang, Kevin M. Esvelt, John Aach, Marc Guell, James E. DiCarlo, Julie E. Norville, George M. Church

X Demographics

X Demographics

The data shown below were collected from the profiles of 97 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 9,741 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 109 1%
United Kingdom 37 <1%
Germany 29 <1%
Japan 18 <1%
France 16 <1%
Canada 14 <1%
Spain 12 <1%
China 12 <1%
Netherlands 11 <1%
Other 95 <1%
Unknown 9388 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2289 23%
Researcher 1575 16%
Student > Bachelor 1476 15%
Student > Master 1235 13%
Student > Doctoral Student 437 4%
Other 1212 12%
Unknown 1517 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 3521 36%
Biochemistry, Genetics and Molecular Biology 2737 28%
Medicine and Dentistry 505 5%
Neuroscience 228 2%
Engineering 209 2%
Other 846 9%
Unknown 1695 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 692. 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 09 April 2024.
All research outputs
#30,637
of 25,712,965 outputs
Outputs from Science
#1,333
of 83,254 outputs
Outputs of similar age
#127
of 290,829 outputs
Outputs of similar age from Science
#4
of 706 outputs
Altmetric has tracked 25,712,965 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 83,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. 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 290,829 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 706 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 99% of its contemporaries.