↓ Skip to main content

Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage

Overview of attention for article published in Nature, April 2016
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
3811 Dimensions

Readers on

mendeley
4757 Mendeley
citeulike
10 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
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Published in
Nature, April 2016
DOI 10.1038/nature17946
Pubmed ID
Authors

Alexis C. Komor, Yongjoo B. Kim, Michael S. Packer, John A. Zuris, David R. Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 407 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 4,757 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 27 <1%
United Kingdom 10 <1%
Germany 5 <1%
Brazil 4 <1%
Netherlands 3 <1%
Finland 3 <1%
Austria 2 <1%
Spain 2 <1%
Japan 2 <1%
Other 17 <1%
Unknown 4682 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 959 20%
Researcher 729 15%
Student > Bachelor 630 13%
Student > Master 490 10%
Student > Doctoral Student 208 4%
Other 556 12%
Unknown 1185 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1546 32%
Agricultural and Biological Sciences 983 21%
Medicine and Dentistry 213 4%
Chemistry 157 3%
Neuroscience 125 3%
Other 433 9%
Unknown 1300 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1357. 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 07 June 2024.
All research outputs
#9,794
of 26,127,783 outputs
Outputs from Nature
#992
of 99,710 outputs
Outputs of similar age
#107
of 315,310 outputs
Outputs of similar age from Nature
#15
of 991 outputs
Altmetric has tracked 26,127,783 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 99,710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.8. 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 315,310 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 991 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.