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Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity

Overview of attention for article published in BMC Bioinformatics, July 2005
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Mentioned by

patent
1 patent

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
140 Mendeley
citeulike
5 CiteULike
Title
Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity
Published in
BMC Bioinformatics, July 2005
DOI 10.1186/1471-2105-6-182
Pubmed ID
Authors

Fran Supek, Kristian Vlahoviček

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Brazil 3 2%
Germany 2 1%
Netherlands 1 <1%
Egypt 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Croatia 1 <1%
Unknown 125 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Researcher 31 22%
Student > Master 18 13%
Professor > Associate Professor 10 7%
Student > Bachelor 8 6%
Other 17 12%
Unknown 22 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 46%
Biochemistry, Genetics and Molecular Biology 36 26%
Engineering 4 3%
Computer Science 2 1%
Immunology and Microbiology 2 1%
Other 5 4%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 May 2014.
All research outputs
#7,610,236
of 23,203,401 outputs
Outputs from BMC Bioinformatics
#3,058
of 7,354 outputs
Outputs of similar age
#20,368
of 57,744 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 23 outputs
Altmetric has tracked 23,203,401 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 57,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.