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GelJ – a tool for analyzing DNA fingerprint gel images

Overview of attention for article published in BMC Bioinformatics, August 2015
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Title
GelJ – a tool for analyzing DNA fingerprint gel images
Published in
BMC Bioinformatics, August 2015
DOI 10.1186/s12859-015-0703-0
Pubmed ID
Authors

Jónathan Heras, César Domínguez, Eloy Mata, Vico Pascual, Carmen Lozano, Carmen Torres, Myriam Zarazaga

Abstract

DNA fingerprinting is a technique for comparing DNA patterns that has applications in a wide variety of contexts. Several commercial and freely-available tools can be used to analyze DNA fingerprint gel images; however, commercial tools are expensive and usually difficult to use; and, free tools support the basic functionality for DNA fingerprint analysis, but lack some instrumental features to obtain accurate results. In this paper, we present GelJ, a feather-weight, user-friendly, platform-independent, open-source and free tool for analyzing DNA fingerprint gel images. Some of the outstanding features of GelJ are mechanisms for accurate lane- and band-detection, several options for computing migration models, a number of band- and curve-based similarity methods, different techniques for generating dendrograms, comparison of banding patterns from different experiments, and database support. GelJ is an easy to use tool for analyzing DNA fingerprint gel images. It combines the best characteristics of both free and commercial tools: GelJ is light and simple to use (as free programs), but it also includes the necessary features to obtain precise results (as commercial programs). In addition, GelJ incorporates new functionality that is not supported by any other tool.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Poland 1 <1%
Unknown 243 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 17%
Student > Ph. D. Student 35 14%
Student > Bachelor 34 14%
Researcher 31 13%
Student > Doctoral Student 16 7%
Other 36 15%
Unknown 52 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 20%
Immunology and Microbiology 32 13%
Biochemistry, Genetics and Molecular Biology 31 13%
Engineering 12 5%
Veterinary Science and Veterinary Medicine 10 4%
Other 35 14%
Unknown 75 31%
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 26 August 2015.
All research outputs
#16,452,494
of 24,226,848 outputs
Outputs from BMC Bioinformatics
#5,528
of 7,512 outputs
Outputs of similar age
#161,806
of 272,181 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 122 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% 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 272,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.