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Codon usage bias and the evolution of influenza A viruses. Codon Usage Biases of Influenza Virus

Overview of attention for article published in BMC Ecology and Evolution, August 2010
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
7 X users
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
265 Dimensions

Readers on

mendeley
217 Mendeley
citeulike
1 CiteULike
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Title
Codon usage bias and the evolution of influenza A viruses. Codon Usage Biases of Influenza Virus
Published in
BMC Ecology and Evolution, August 2010
DOI 10.1186/1471-2148-10-253
Pubmed ID
Authors

Emily HM Wong, David K Smith, Raul Rabadan, Malik Peiris, Leo LM Poon

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
United States 3 1%
Netherlands 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
Denmark 1 <1%
Argentina 1 <1%
Unknown 204 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 27%
Student > Master 30 14%
Researcher 29 13%
Student > Bachelor 19 9%
Student > Doctoral Student 9 4%
Other 34 16%
Unknown 37 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 40%
Biochemistry, Genetics and Molecular Biology 41 19%
Immunology and Microbiology 10 5%
Medicine and Dentistry 7 3%
Computer Science 5 2%
Other 22 10%
Unknown 46 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 November 2020.
All research outputs
#3,394,236
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#910
of 3,714 outputs
Outputs of similar age
#13,011
of 104,205 outputs
Outputs of similar age from BMC Ecology and Evolution
#14
of 43 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 75% 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 104,205 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 87% of its contemporaries.
We're also able to compare this research output to 43 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 67% of its contemporaries.