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An effective evolutionary algorithm for protein folding on 3D FCC HP model by lattice rotation and generalized move sets

Overview of attention for article published in Proteome Science, November 2013
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Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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31 Mendeley
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Title
An effective evolutionary algorithm for protein folding on 3D FCC HP model by lattice rotation and generalized move sets
Published in
Proteome Science, November 2013
DOI 10.1186/1477-5956-11-s1-s19
Pubmed ID
Authors

Jyh-Jong Tsay, Shih-Chieh Su

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Student > Master 6 19%
Student > Bachelor 4 13%
Researcher 3 10%
Professor > Associate Professor 3 10%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 15 48%
Physics and Astronomy 4 13%
Chemistry 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Mathematics 1 3%
Other 3 10%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 June 2019.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Proteome Science
#149
of 208 outputs
Outputs of similar age
#172,316
of 228,790 outputs
Outputs of similar age from Proteome Science
#4
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 16th percentile – i.e., 16% 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 228,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.