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Power and sample size estimation in microarray studies

Overview of attention for article published in BMC Bioinformatics, January 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

q&a
1 Q&A thread

Readers on

mendeley
121 Mendeley
citeulike
9 CiteULike
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Title
Power and sample size estimation in microarray studies
Published in
BMC Bioinformatics, January 2010
DOI 10.1186/1471-2105-11-48
Pubmed ID
Authors

Wei-Jiun Lin, Huey-Miin Hsueh, James J Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 2 2%
United Kingdom 2 2%
Netherlands 1 <1%
South Africa 1 <1%
Belgium 1 <1%
India 1 <1%
Unknown 110 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 28%
Student > Ph. D. Student 20 17%
Student > Doctoral Student 17 14%
Professor > Associate Professor 10 8%
Student > Master 10 8%
Other 24 20%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 34%
Biochemistry, Genetics and Molecular Biology 19 16%
Medicine and Dentistry 17 14%
Mathematics 7 6%
Computer Science 6 5%
Other 22 18%
Unknown 9 7%
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 09 February 2012.
All research outputs
#15,232,080
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#4,168
of 7,793 outputs
Outputs of similar age
#141,593
of 176,879 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 59 outputs
Altmetric has tracked 26,017,215 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 43rd percentile – i.e., 43% 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 176,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.