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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 (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
317 Mendeley
citeulike
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.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters 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 317 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 298 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 21%
Researcher 51 16%
Student > Master 40 13%
Student > Bachelor 40 13%
Student > Doctoral Student 18 6%
Other 61 19%
Unknown 41 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 133 42%
Biochemistry, Genetics and Molecular Biology 54 17%
Immunology and Microbiology 24 8%
Environmental Science 17 5%
Engineering 9 3%
Other 26 8%
Unknown 54 17%

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 25 June 2014.
All research outputs
#5,283,097
of 18,960,910 outputs
Outputs from BMC Bioinformatics
#2,152
of 6,477 outputs
Outputs of similar age
#57,960
of 234,956 outputs
Outputs of similar age from BMC Bioinformatics
#111
of 315 outputs
Altmetric has tracked 18,960,910 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 6,477 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 66% 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 234,956 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 75% of its contemporaries.
We're also able to compare this research output to 315 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 65% of its contemporaries.