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Accurate Detection and Evaluation of the Gene-Editing Frequency in Plants Using Droplet Digital PCR

Overview of attention for article published in Frontiers in Plant Science, December 2020
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
4 X users
patent
2 patents

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Accurate Detection and Evaluation of the Gene-Editing Frequency in Plants Using Droplet Digital PCR
Published in
Frontiers in Plant Science, December 2020
DOI 10.3389/fpls.2020.610790
Pubmed ID
Authors

Cheng Peng, Ming Zheng, Lin Ding, Xiaoyun Chen, Xiaofu Wang, Xuping Feng, Junmin Wang, Junfeng Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Student > Master 4 8%
Other 11 22%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 38%
Biochemistry, Genetics and Molecular Biology 14 28%
Computer Science 2 4%
Nursing and Health Professions 1 2%
Engineering 1 2%
Other 0 0%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 May 2023.
All research outputs
#2,073,670
of 25,877,363 outputs
Outputs from Frontiers in Plant Science
#762
of 24,953 outputs
Outputs of similar age
#55,288
of 528,613 outputs
Outputs of similar age from Frontiers in Plant Science
#27
of 536 outputs
Altmetric has tracked 25,877,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,953 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 528,613 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 89% of its contemporaries.
We're also able to compare this research output to 536 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 94% of its contemporaries.