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High-resolution modeling of the selection on local mRNA folding strength in coding sequences across the tree of life

Overview of attention for article published in Genome Biology, March 2020
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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 (84th percentile)

Mentioned by

twitter
12 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
46 Mendeley
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Title
High-resolution modeling of the selection on local mRNA folding strength in coding sequences across the tree of life
Published in
Genome Biology, March 2020
DOI 10.1186/s13059-020-01971-y
Pubmed ID
Authors

Michael Peeri, Tamir Tuller

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 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 10 22%
Researcher 6 13%
Student > Master 4 9%
Professor 4 9%
Student > Bachelor 3 7%
Other 4 9%
Unknown 15 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 33%
Agricultural and Biological Sciences 3 7%
Computer Science 2 4%
Engineering 2 4%
Physics and Astronomy 2 4%
Other 6 13%
Unknown 16 35%
Attention Score in Context

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 14 March 2024.
All research outputs
#2,652,874
of 25,387,668 outputs
Outputs from Genome Biology
#2,101
of 4,470 outputs
Outputs of similar age
#61,570
of 387,612 outputs
Outputs of similar age from Genome Biology
#54
of 75 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 52% 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 387,612 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 84% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.