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BALCONY: an R package for MSA and functional compartments of protein variability analysis

Overview of attention for article published in BMC Bioinformatics, August 2018
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 blog
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8 X users

Citations

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10 Dimensions

Readers on

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29 Mendeley
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Title
BALCONY: an R package for MSA and functional compartments of protein variability analysis
Published in
BMC Bioinformatics, August 2018
DOI 10.1186/s12859-018-2294-z
Pubmed ID
Authors

Alicja Płuciennik, Michał Stolarczyk, Maria Bzówka, Agata Raczyńska, Tomasz Magdziarz, Artur Góra

Abstract

Here, we present an R package for entropy/variability analysis that facilitates prompt and convenient data extraction, manipulation and visualization of protein features from multiple sequence alignments. BALCONY can work with residues dispersed across a protein sequence and map them on the corresponding alignment of homologous protein sequences. Additionally, it provides several entropy and variability scores that indicate the conservation of each residue. Our package allows the user to visualize evolutionary variability by locating the positions most likely to vary and to assess mutation candidates in protein engineering. In comparison to other R packages BALCONY allows conservation/variability analysis in context of protein structure with linkage of the appropriate metrics with physicochemical features of user choice. CRAN project page: https://cran.r-project.org/package=BALCONY and our website: http://www.tunnelinggroup.pl/software/ for major platforms: Linux/Unix, Windows and Mac OS X.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 24%
Student > Ph. D. Student 6 21%
Researcher 3 10%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 31%
Agricultural and Biological Sciences 5 17%
Engineering 3 10%
Computer Science 2 7%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 10%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 18 May 2022.
All research outputs
#2,297,199
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#645
of 7,387 outputs
Outputs of similar age
#48,928
of 331,675 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 91 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 331,675 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 85% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.