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Multiplex Genome Engineering Using CRISPR/Cas Systems

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
12580 Dimensions

Readers on

mendeley
14627 Mendeley
citeulike
25 CiteULike
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Title
Multiplex Genome Engineering Using CRISPR/Cas Systems
Published in
Science, January 2013
DOI 10.1126/science.1231143
Pubmed ID
Authors

Le Cong, F. Ann Ran, David Cox, Shuailiang Lin, Robert Barretto, Naomi Habib, Patrick D. Hsu, Xuebing Wu, Wenyan Jiang, Luciano A. Marraffini, Feng Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 130 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 14,627 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 151 1%
United Kingdom 49 <1%
Germany 41 <1%
Japan 27 <1%
France 26 <1%
Spain 17 <1%
Canada 17 <1%
China 16 <1%
Brazil 14 <1%
Other 129 <1%
Unknown 14140 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3388 23%
Student > Bachelor 2272 16%
Researcher 2220 15%
Student > Master 1943 13%
Student > Doctoral Student 655 4%
Other 1740 12%
Unknown 2409 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 5030 34%
Biochemistry, Genetics and Molecular Biology 4114 28%
Medicine and Dentistry 694 5%
Neuroscience 377 3%
Immunology and Microbiology 335 2%
Other 1379 9%
Unknown 2698 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1386. 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 11 April 2024.
All research outputs
#9,209
of 25,711,518 outputs
Outputs from Science
#475
of 83,250 outputs
Outputs of similar age
#27
of 290,826 outputs
Outputs of similar age from Science
#1
of 706 outputs
Altmetric has tracked 25,711,518 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 83,250 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 99% 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 290,826 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.