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Article Metrics

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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
44 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
46 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

Twitter Demographics

The data shown below were collected from the profiles of 44 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Researcher 8 17%
Student > Bachelor 5 11%
Professor > Associate Professor 4 9%
Student > Master 3 7%
Other 5 11%
Unknown 7 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 46%
Agricultural and Biological Sciences 7 15%
Chemical Engineering 2 4%
Chemistry 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 8 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 10 November 2019.
All research outputs
#789,775
of 15,881,303 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#13,249
of 86,102 outputs
Outputs of similar age
#28,341
of 329,401 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#348
of 888 outputs
Altmetric has tracked 15,881,303 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 86,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.6. This one has done well, scoring higher than 84% 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 329,401 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 91% of its contemporaries.
We're also able to compare this research output to 888 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 60% of its contemporaries.