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A parallel genetic algorithm for single class pattern classification and its application for gene expression profiling in Streptomyces coelicolor

Overview of attention for article published in BMC Genomics, February 2007
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
22 Mendeley
citeulike
3 CiteULike
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Title
A parallel genetic algorithm for single class pattern classification and its application for gene expression profiling in Streptomyces coelicolor
Published in
BMC Genomics, February 2007
DOI 10.1186/1471-2164-8-49
Pubmed ID
Authors

Cuong C To, Jiri Vohradsky

Abstract

Identification of coordinately regulated genes according to the level of their expression during the time course of a process allows for discovering functional relationships among genes involved in the process.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 5%
Brazil 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Bachelor 3 14%
Student > Master 3 14%
Researcher 3 14%
Professor 2 9%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Computer Science 5 23%
Agricultural and Biological Sciences 5 23%
Engineering 4 18%
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 August 2015.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from BMC Genomics
#3,595
of 10,643 outputs
Outputs of similar age
#44,213
of 162,304 outputs
Outputs of similar age from BMC Genomics
#34
of 82 outputs
Altmetric has tracked 22,780,967 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 162,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.