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How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach

Overview of attention for article published in Genome Biology, April 2002
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1 X user

Citations

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142 Dimensions

Readers on

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132 Mendeley
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1 CiteULike
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Title
How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
Published in
Genome Biology, April 2002
DOI 10.1186/gb-2002-3-5-research0022
Pubmed ID
Authors

Wei Pan, Jizhen Lin, Chap T Le

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

Geographical breakdown

Country Count As %
United States 6 5%
United Kingdom 4 3%
Turkey 1 <1%
Malaysia 1 <1%
France 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Germany 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 114 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 32%
Student > Ph. D. Student 31 23%
Professor 13 10%
Student > Master 11 8%
Professor > Associate Professor 10 8%
Other 18 14%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 50%
Mathematics 15 11%
Biochemistry, Genetics and Molecular Biology 10 8%
Computer Science 8 6%
Medicine and Dentistry 7 5%
Other 12 9%
Unknown 14 11%
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 03 October 2012.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Genome Biology
#4,271
of 4,470 outputs
Outputs of similar age
#124,479
of 127,551 outputs
Outputs of similar age from Genome Biology
#19
of 20 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 127,551 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.