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Automatic analysis of 2D polyacrylamide gels in the diagnosis of DNA polymorphisms

Overview of attention for article published in BioMedical Engineering OnLine, July 2013
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Title
Automatic analysis of 2D polyacrylamide gels in the diagnosis of DNA polymorphisms
Published in
BioMedical Engineering OnLine, July 2013
DOI 10.1186/1475-925x-12-68
Pubmed ID
Authors

Robert Koprowski, Zygmunt Wróbel, Anna Korzyńska, Karolina Chwiałkowska, Mirosław Kwaśniewski

Abstract

The analysis of polyacrylamide gels is currently carried out manually or automatically. In the automatic method, there are limitations related to the acceptable degree of distortion of lane and band continuity. The available software cannot deal satisfactorily with this type of situations. Therefore, the paper presents an original image analysis method devoid of the aforementioned drawbacks.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 2 10%
India 1 5%
Unknown 17 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Student > Bachelor 5 25%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 55%
Engineering 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Immunology and Microbiology 2 10%
Chemical Engineering 1 5%
Other 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from BioMedical Engineering OnLine
#694
of 824 outputs
Outputs of similar age
#170,519
of 194,333 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 10 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 194,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.