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Distributional fold change test – a statistical approach for detecting differential expression in microarray experiments

Overview of attention for article published in Algorithms for Molecular Biology, November 2012
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Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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34 Mendeley
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2 CiteULike
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Title
Distributional fold change test – a statistical approach for detecting differential expression in microarray experiments
Published in
Algorithms for Molecular Biology, November 2012
DOI 10.1186/1748-7188-7-29
Pubmed ID
Authors

Vadim Farztdinov, Fionnuala McDyer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
Germany 1 3%
United Kingdom 1 3%
Canada 1 3%
Argentina 1 3%
United States 1 3%
Unknown 29 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 8 24%
Student > Master 5 15%
Professor 2 6%
Lecturer > Senior Lecturer 2 6%
Other 5 15%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 50%
Biochemistry, Genetics and Molecular Biology 5 15%
Computer Science 3 9%
Medicine and Dentistry 3 9%
Psychology 1 3%
Other 3 9%
Unknown 2 6%
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 05 November 2012.
All research outputs
#20,171,868
of 22,684,168 outputs
Outputs from Algorithms for Molecular Biology
#233
of 264 outputs
Outputs of similar age
#163,917
of 184,200 outputs
Outputs of similar age from Algorithms for Molecular Biology
#8
of 8 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 184,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.