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Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains

Overview of attention for article published in The Scientific World Journal, January 2013
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains
Published in
The Scientific World Journal, January 2013
DOI 10.1155/2013/948617
Pubmed ID
Authors

Branislava Gemovic, Vladimir Perovic, Sanja Glisic, Nevena Veljkovic

Abstract

There are more than 500 amino acid substitutions in each human genome, and bioinformatics tools irreplaceably contribute to determination of their functional effects. We have developed feature-based algorithm for the detection of mutations outside conserved functional domains (CFDs) and compared its classification efficacy with the most commonly used phylogeny-based tools, PolyPhen-2 and SIFT. The new algorithm is based on the informational spectrum method (ISM), a feature-based technique, and statistical analysis. Our dataset contained neutral polymorphisms and mutations associated with myeloid malignancies from epigenetic regulators ASXL1, DNMT3A, EZH2, and TET2. PolyPhen-2 and SIFT had significantly lower accuracies in predicting the effects of amino acid substitutions outside CFDs than expected, with especially low sensitivity. On the other hand, only ISM algorithm showed statistically significant classification of these sequences. It outperformed PolyPhen-2 and SIFT by 15% and 13%, respectively. These results suggest that feature-based methods, like ISM, are more suitable for the classification of amino acid substitutions outside CFDs than phylogeny-based tools.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Postgraduate 3 18%
Researcher 3 18%
Professor 2 12%
Other 2 12%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 29%
Biochemistry, Genetics and Molecular Biology 3 18%
Computer Science 2 12%
Nursing and Health Professions 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 4 24%

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 13 September 2014.
All research outputs
#1,918,759
of 12,549,935 outputs
Outputs from The Scientific World Journal
#172
of 1,926 outputs
Outputs of similar age
#36,542
of 240,423 outputs
Outputs of similar age from The Scientific World Journal
#37
of 309 outputs
Altmetric has tracked 12,549,935 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,926 research outputs from this source. They receive a mean Attention Score of 3.3. 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 240,423 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 84% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.