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Prediction of Functional Sites Based on the Fuzzy Oil Drop Model

Overview of attention for article published in PLoS Computational Biology, May 2007
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Mentioned by

patent
2 patents

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
5 CiteULike
connotea
1 Connotea
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Title
Prediction of Functional Sites Based on the Fuzzy Oil Drop Model
Published in
PLoS Computational Biology, May 2007
DOI 10.1371/journal.pcbi.0030094
Pubmed ID
Authors

Michał Bryliński, Katarzyna Prymula, Wiktor Jurkowski, Marek Kochańczyk, Ewa Stawowczyk, Leszek Konieczny, Irena Roterman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 3%
Colombia 1 3%
Pakistan 1 3%
Germany 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 35%
Student > Ph. D. Student 7 21%
Student > Master 3 9%
Other 3 9%
Student > Bachelor 2 6%
Other 3 9%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 41%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Physics and Astronomy 2 6%
Other 4 12%
Unknown 7 21%
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 07 November 2023.
All research outputs
#8,543,833
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,639
of 8,964 outputs
Outputs of similar age
#29,691
of 83,239 outputs
Outputs of similar age from PLoS Computational Biology
#20
of 31 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 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 33rd percentile – i.e., 33% 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 83,239 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 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.