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Classification of microarrays; synergistic effects between normalization, gene selection and machine learning

Overview of attention for article published in BMC Bioinformatics, October 2011
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
7 CiteULike
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Title
Classification of microarrays; synergistic effects between normalization, gene selection and machine learning
Published in
BMC Bioinformatics, October 2011
DOI 10.1186/1471-2105-12-390
Pubmed ID
Authors

Jenny Önskog, Eva Freyhult, Mattias Landfors, Patrik Rydén, Torgeir R Hvidsten

Twitter Demographics

The data shown below were collected from the profiles of 2 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
Malaysia 1 1%
France 1 1%
Norway 1 1%
Italy 1 1%
South Africa 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 65 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 30%
Student > Ph. D. Student 14 19%
Student > Master 7 10%
Student > Bachelor 6 8%
Professor > Associate Professor 5 7%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 27%
Computer Science 16 22%
Medicine and Dentistry 7 10%
Engineering 7 10%
Biochemistry, Genetics and Molecular Biology 5 7%
Other 6 8%
Unknown 12 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 December 2016.
All research outputs
#7,141,737
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#2,786
of 4,576 outputs
Outputs of similar age
#163,603
of 348,956 outputs
Outputs of similar age from BMC Bioinformatics
#259
of 426 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 35th percentile – i.e., 35% 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 348,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 426 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.