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Eureka-DMA: an easy-to-operate graphical user interface for fast comprehensive investigation and analysis of DNA microarray data

Overview of attention for article published in BMC Bioinformatics, February 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
twitter
3 X users

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
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Title
Eureka-DMA: an easy-to-operate graphical user interface for fast comprehensive investigation and analysis of DNA microarray data
Published in
BMC Bioinformatics, February 2014
DOI 10.1186/1471-2105-15-53
Pubmed ID
Authors

Sagi Abelson

Abstract

In the past decade, the field of molecular biology has become increasingly quantitative; rapid development of new technologies enables researchers to investigate and address fundamental issues quickly and in an efficient manner which were once impossible. Among these technologies, DNA microarray provides methodology for many applications such as gene discovery, diseases diagnosis, drug development and toxicological research and it has been used increasingly since it first emerged. Multiple tools have been developed to interpret the high-throughput data produced by microarrays. However, many times, less consideration has been given to the fact that an extensive and effective interpretation requires close interplay between the bioinformaticians who analyze the data and the biologists who generate it. To bridge this gap and to simplify the usability of such tools we developed Eureka-DMA - an easy-to-operate graphical user interface that allows bioinformaticians and bench-biologists alike to initiate analyses as well as to investigate the data produced by DNA microarrays.

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

Geographical breakdown

Country Count As %
Brazil 2 6%
Netherlands 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Bachelor 7 21%
Student > Master 5 15%
Student > Ph. D. Student 3 9%
Professor > Associate Professor 2 6%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 32%
Computer Science 9 26%
Biochemistry, Genetics and Molecular Biology 4 12%
Psychology 2 6%
Physics and Astronomy 1 3%
Other 3 9%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 12 March 2014.
All research outputs
#1,294,749
of 22,745,803 outputs
Outputs from BMC Bioinformatics
#196
of 7,268 outputs
Outputs of similar age
#14,104
of 223,227 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 113 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 97% 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 223,227 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 113 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 95% of its contemporaries.