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NetTurnP – Neural Network Prediction of Beta-turns by Use of Evolutionary Information and Predicted Protein Sequence Features

Overview of attention for article published in PLOS ONE, November 2010
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Mentioned by

patent
1 patent

Citations

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85 Dimensions

Readers on

mendeley
74 Mendeley
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Title
NetTurnP – Neural Network Prediction of Beta-turns by Use of Evolutionary Information and Predicted Protein Sequence Features
Published in
PLOS ONE, November 2010
DOI 10.1371/journal.pone.0015079
Pubmed ID
Authors

Bent Petersen, Claus Lundegaard, Thomas Nordahl Petersen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Canada 2 3%
Denmark 2 3%
Chile 1 1%
Colombia 1 1%
Germany 1 1%
Unknown 64 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Researcher 14 19%
Student > Master 10 14%
Student > Bachelor 6 8%
Student > Doctoral Student 5 7%
Other 8 11%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 41%
Biochemistry, Genetics and Molecular Biology 12 16%
Chemistry 7 9%
Computer Science 4 5%
Chemical Engineering 2 3%
Other 8 11%
Unknown 11 15%
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 02 January 2024.
All research outputs
#8,415,382
of 25,139,853 outputs
Outputs from PLOS ONE
#110,785
of 218,018 outputs
Outputs of similar age
#58,448
of 192,919 outputs
Outputs of similar age from PLOS ONE
#522
of 1,009 outputs
Altmetric has tracked 25,139,853 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 218,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 44th percentile – i.e., 44% 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 192,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,009 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.