↓ Skip to main content

Michigan Publishing

Article Metrics

Ribosome queuing enables non-AUG translation to be resistant to multiple protein synthesis inhibitors

Overview of attention for article published in Genes & Development, June 2019
Altmetric Badge

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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
25 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
85 Mendeley
Title
Ribosome queuing enables non-AUG translation to be resistant to multiple protein synthesis inhibitors
Published in
Genes & Development, June 2019
DOI 10.1101/gad.324715.119
Pubmed ID
Authors

Michael G. Kearse, Daniel H. Goldman, Jiou Choi, Chike Nwaezeapu, Dongming Liang, Katelyn M. Green, Aaron C. Goldstrohm, Peter K. Todd, Rachel Green, Jeremy E. Wilusz

Twitter Demographics

The data shown below were collected from the profiles of 25 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 26%
Researcher 16 19%
Student > Master 13 15%
Student > Bachelor 12 14%
Student > Doctoral Student 3 4%
Other 9 11%
Unknown 10 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 38%
Agricultural and Biological Sciences 24 28%
Neuroscience 3 4%
Chemistry 2 2%
Immunology and Microbiology 2 2%
Other 9 11%
Unknown 13 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 30 June 2019.
All research outputs
#1,343,782
of 15,348,605 outputs
Outputs from Genes & Development
#417
of 5,274 outputs
Outputs of similar age
#37,403
of 266,000 outputs
Outputs of similar age from Genes & Development
#11
of 32 outputs
Altmetric has tracked 15,348,605 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 5,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 92% 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 266,000 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 85% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.