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Michigan Publishing

Pseudouridinylation of mRNA coding sequences alters translation

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, October 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
379 X users
facebook
2 Facebook pages
q&a
1 Q&A thread

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
146 Mendeley
Title
Pseudouridinylation of mRNA coding sequences alters translation
Published in
Proceedings of the National Academy of Sciences of the United States of America, October 2019
DOI 10.1073/pnas.1821754116
Pubmed ID
Authors

Daniel E Eyler, Monika K Franco, Zahra Batool, Monica Z Wu, Michelle L Dubuke, Malgorzata Dobosz-Bartoszek, Joshua D Jones, Yury S Polikanov, Bijoyita Roy, Kristin S Koutmou

X Demographics

X Demographics

The data shown below were collected from the profiles of 379 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Researcher 28 19%
Student > Bachelor 15 10%
Student > Master 11 8%
Student > Doctoral Student 5 3%
Other 18 12%
Unknown 39 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 58 40%
Agricultural and Biological Sciences 16 11%
Chemistry 7 5%
Engineering 3 2%
Neuroscience 3 2%
Other 20 14%
Unknown 39 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 258. 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 April 2024.
All research outputs
#144,839
of 25,738,558 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#2,909
of 103,644 outputs
Outputs of similar age
#2,907
of 378,750 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#67
of 916 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 97% 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 378,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 916 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 92% of its contemporaries.