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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

Mentioned by

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2 X users

Citations

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27 Dimensions

Readers on

mendeley
75 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 75 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 67 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 14 19%
Student > Master 7 9%
Student > Bachelor 6 8%
Professor > Associate Professor 5 7%
Other 11 15%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 27%
Computer Science 16 21%
Medicine and Dentistry 7 9%
Engineering 7 9%
Biochemistry, Genetics and Molecular Biology 5 7%
Other 6 8%
Unknown 14 19%
Attention Score in Context

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
#14,289,166
of 22,912,409 outputs
Outputs from BMC Bioinformatics
#4,748
of 7,305 outputs
Outputs of similar age
#89,296
of 136,045 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 85 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 136,045 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 85 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.