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A generic method for assignment of reliability scores applied to solvent accessibility predictions

Overview of attention for article published in BMC Molecular and Cell Biology, July 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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3 X users
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4 patents

Citations

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549 Dimensions

Readers on

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356 Mendeley
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Title
A generic method for assignment of reliability scores applied to solvent accessibility predictions
Published in
BMC Molecular and Cell Biology, July 2009
DOI 10.1186/1472-6807-9-51
Pubmed ID
Authors

Bent Petersen, Thomas Nordahl Petersen, Pernille Andersen, Morten Nielsen, Claus Lundegaard

Abstract

Estimation of the reliability of specific real value predictions is nontrivial and the efficacy of this is often questionable. It is important to know if you can trust a given prediction and therefore the best methods associate a prediction with a reliability score or index. For discrete qualitative predictions, the reliability is conventionally estimated as the difference between output scores of selected classes. Such an approach is not feasible for methods that predict a biological feature as a single real value rather than a classification. As a solution to this challenge, we have implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
United States 4 1%
Portugal 2 <1%
Japan 2 <1%
Netherlands 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Chile 1 <1%
Panama 1 <1%
Other 7 2%
Unknown 330 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 25%
Student > Master 54 15%
Student > Bachelor 51 14%
Researcher 47 13%
Student > Postgraduate 16 4%
Other 48 13%
Unknown 51 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 133 37%
Biochemistry, Genetics and Molecular Biology 87 24%
Computer Science 21 6%
Chemistry 15 4%
Engineering 10 3%
Other 33 9%
Unknown 57 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 July 2018.
All research outputs
#4,607,773
of 25,374,647 outputs
Outputs from BMC Molecular and Cell Biology
#100
of 1,233 outputs
Outputs of similar age
#19,545
of 121,989 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#3
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 91% 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 121,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.