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A maximum likelihood framework for protein design

Overview of attention for article published in BMC Bioinformatics, June 2006
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Mentioned by

patent
1 patent

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
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Title
A maximum likelihood framework for protein design
Published in
BMC Bioinformatics, June 2006
DOI 10.1186/1471-2105-7-326
Pubmed ID
Authors

Claudia L Kleinman, Nicolas Rodrigue, Cécile Bonnard, Hervé Philippe, Nicolas Lartillot

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 8%
Colombia 1 2%
Switzerland 1 2%
Indonesia 1 2%
India 1 2%
Germany 1 2%
Canada 1 2%
Czechia 1 2%
Spain 1 2%
Other 1 2%
Unknown 39 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 37%
Professor 10 19%
Professor > Associate Professor 6 12%
Student > Ph. D. Student 4 8%
Student > Master 4 8%
Other 6 12%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 44%
Chemistry 5 10%
Physics and Astronomy 4 8%
Computer Science 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 8 15%
Unknown 5 10%
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 03 October 2016.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#3,074
of 7,380 outputs
Outputs of similar age
#22,933
of 64,868 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 38 outputs
Altmetric has tracked 23,308,124 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 7,380 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 64,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.