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A Universal Trend of Reduced mRNA Stability near the Translation-Initiation Site in Prokaryotes and Eukaryotes

Overview of attention for article published in PLoS Computational Biology, February 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
277 Dimensions

Readers on

mendeley
326 Mendeley
citeulike
4 CiteULike
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Title
A Universal Trend of Reduced mRNA Stability near the Translation-Initiation Site in Prokaryotes and Eukaryotes
Published in
PLoS Computational Biology, February 2010
DOI 10.1371/journal.pcbi.1000664
Pubmed ID
Authors

Wanjun Gu, Tong Zhou, Claus O. Wilke

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 326 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
United Kingdom 4 1%
Netherlands 2 <1%
Italy 2 <1%
Brazil 2 <1%
Japan 2 <1%
Sweden 1 <1%
India 1 <1%
Canada 1 <1%
Other 7 2%
Unknown 295 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 28%
Researcher 74 23%
Student > Master 39 12%
Student > Bachelor 28 9%
Student > Postgraduate 15 5%
Other 45 14%
Unknown 34 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 153 47%
Biochemistry, Genetics and Molecular Biology 88 27%
Computer Science 9 3%
Engineering 9 3%
Environmental Science 6 2%
Other 20 6%
Unknown 41 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 June 2023.
All research outputs
#8,036,604
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#5,324
of 9,003 outputs
Outputs of similar age
#48,811
of 173,946 outputs
Outputs of similar age from PLoS Computational Biology
#31
of 55 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 39th percentile – i.e., 39% 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 173,946 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 71% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.