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Degradation of endogenous proteins and generation of a null-like phenotype in zebrafish using Trim-Away technology

Overview of attention for article published in Genome Biology (Online Edition), January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Degradation of endogenous proteins and generation of a null-like phenotype in zebrafish using Trim-Away technology
Published in
Genome Biology (Online Edition), January 2019
DOI 10.1186/s13059-019-1624-4
Pubmed ID
Authors

Xiao Chen, Mi Liu, Hongyan Lou, Yiyi Lu, Meng-Tao Zhou, Rongying Ou, Yunsheng Xu, Kai-Fu Tang

Twitter Demographics

The data shown below were collected from the profiles of 14 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 9 15%
Student > Master 7 12%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 8 14%
Unknown 13 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 46%
Agricultural and Biological Sciences 10 17%
Immunology and Microbiology 4 7%
Medicine and Dentistry 3 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 1 2%
Unknown 13 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 January 2019.
All research outputs
#3,913,169
of 19,509,823 outputs
Outputs from Genome Biology (Online Edition)
#2,424
of 3,841 outputs
Outputs of similar age
#94,118
of 356,604 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,509,823 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 356,604 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 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them