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Harnessing accurate non-homologous end joining for efficient precise deletion in CRISPR/Cas9-mediated genome editing

Overview of attention for article published in Genome Biology (Online Edition), October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
11 tweeters

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
140 Mendeley
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Title
Harnessing accurate non-homologous end joining for efficient precise deletion in CRISPR/Cas9-mediated genome editing
Published in
Genome Biology (Online Edition), October 2018
DOI 10.1186/s13059-018-1518-x
Pubmed ID
Authors

Tao Guo, Yi-Li Feng, Jing-Jing Xiao, Qian Liu, Xiu-Na Sun, Ji-Feng Xiang, Na Kong, Si-Cheng Liu, Guo-Qiao Chen, Yue Wang, Meng-Meng Dong, Zhen Cai, Hui Lin, Xiu-Jun Cai, An-Yong Xie

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 23%
Student > Bachelor 24 17%
Student > Master 18 13%
Researcher 15 11%
Other 8 6%
Other 17 12%
Unknown 26 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 66 47%
Agricultural and Biological Sciences 23 16%
Engineering 6 4%
Immunology and Microbiology 6 4%
Chemistry 5 4%
Other 7 5%
Unknown 27 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 December 2018.
All research outputs
#1,745,804
of 16,951,449 outputs
Outputs from Genome Biology (Online Edition)
#1,604
of 3,541 outputs
Outputs of similar age
#55,346
of 329,808 outputs
Outputs of similar age from Genome Biology (Online Edition)
#153
of 227 outputs
Altmetric has tracked 16,951,449 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.3. This one has gotten more attention than average, scoring higher than 54% 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 329,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.