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PyElph - a software tool for gel images analysis and phylogenetics

Overview of attention for article published in BMC Bioinformatics, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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8 X users

Citations

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214 Dimensions

Readers on

mendeley
351 Mendeley
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5 CiteULike
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Title
PyElph - a software tool for gel images analysis and phylogenetics
Published in
BMC Bioinformatics, January 2012
DOI 10.1186/1471-2105-13-9
Pubmed ID
Authors

Ana Brânduşa Pavel, Cristian Ioan Vasile

Abstract

This paper presents PyElph, a software tool which automatically extracts data from gel images, computes the molecular weights of the analyzed molecules or fragments, compares DNA patterns which result from experiments with molecular genetic markers and, also, generates phylogenetic trees computed by five clustering methods, using the information extracted from the analyzed gel image. The software can be successfully used for population genetics, phylogenetics, taxonomic studies and other applications which require gel image analysis. Researchers and students working in molecular biology and genetics would benefit greatly from the proposed software because it is free, open source, easy to use, has a friendly Graphical User Interface and does not depend on specific image acquisition devices like other commercial programs with similar functionalities do.

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

Geographical breakdown

Country Count As %
United States 3 <1%
Brazil 2 <1%
South Africa 2 <1%
Germany 1 <1%
Indonesia 1 <1%
Uganda 1 <1%
Colombia 1 <1%
India 1 <1%
Czechia 1 <1%
Other 6 2%
Unknown 332 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 19%
Researcher 55 16%
Student > Master 44 13%
Student > Bachelor 41 12%
Student > Doctoral Student 19 5%
Other 63 18%
Unknown 61 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 41%
Biochemistry, Genetics and Molecular Biology 59 17%
Immunology and Microbiology 24 7%
Environmental Science 17 5%
Engineering 8 2%
Other 25 7%
Unknown 75 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 December 2014.
All research outputs
#6,771,252
of 24,736,359 outputs
Outputs from BMC Bioinformatics
#2,435
of 7,578 outputs
Outputs of similar age
#58,101
of 252,954 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 83 outputs
Altmetric has tracked 24,736,359 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,578 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 gotten more attention than average, scoring higher than 67% 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 252,954 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 76% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.