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An efficient method to generate conditional knockout cell lines for essential genes by combination of auxin-inducible degron tag and CRISPR/Cas9

Overview of attention for article published in Chromosome Research, June 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
128 Mendeley
Title
An efficient method to generate conditional knockout cell lines for essential genes by combination of auxin-inducible degron tag and CRISPR/Cas9
Published in
Chromosome Research, June 2017
DOI 10.1007/s10577-017-9559-7
Pubmed ID
Authors

Kohei Nishimura, Tatsuo Fukagawa

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 21%
Student > Bachelor 18 14%
Student > Master 15 12%
Researcher 10 8%
Student > Doctoral Student 7 5%
Other 27 21%
Unknown 24 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 69 54%
Agricultural and Biological Sciences 19 15%
Neuroscience 4 3%
Immunology and Microbiology 3 2%
Medicine and Dentistry 2 2%
Other 7 5%
Unknown 24 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 January 2021.
All research outputs
#8,262,193
of 25,837,817 outputs
Outputs from Chromosome Research
#155
of 545 outputs
Outputs of similar age
#120,724
of 334,259 outputs
Outputs of similar age from Chromosome Research
#3
of 4 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 545 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 69% 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 334,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.