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Trio-Based Deep Sequencing Reveals a Low Incidence of Off-Target Mutations in the Offspring of Genetically Edited Goats

Overview of attention for article published in Frontiers in Genetics, 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)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Trio-Based Deep Sequencing Reveals a Low Incidence of Off-Target Mutations in the Offspring of Genetically Edited Goats
Published in
Frontiers in Genetics, October 2018
DOI 10.3389/fgene.2018.00449
Pubmed ID
Authors

Chao Li, Shiwei Zhou, Yan Li, Guanwei Li, Yige Ding, Lan Li, Jing Liu, Lei Qu, Tad Sonstegard, Xingxu Huang, Yu Jiang, Yulin Chen, Bjoern Petersen, Xiaolong Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Bachelor 6 19%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Student > Doctoral Student 1 3%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Biochemistry, Genetics and Molecular Biology 11 35%
Veterinary Science and Veterinary Medicine 2 6%
Unspecified 1 3%
Engineering 1 3%
Other 0 0%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 October 2019.
All research outputs
#2,586,982
of 23,105,443 outputs
Outputs from Frontiers in Genetics
#644
of 12,152 outputs
Outputs of similar age
#55,391
of 344,304 outputs
Outputs of similar age from Frontiers in Genetics
#22
of 225 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,152 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 344,304 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 225 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 90% of its contemporaries.