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Detecting differential expression in microarray data: comparison of optimal procedures

Overview of attention for article published in BMC Bioinformatics, January 2007
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
8 CiteULike
connotea
4 Connotea
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Title
Detecting differential expression in microarray data: comparison of optimal procedures
Published in
BMC Bioinformatics, January 2007
DOI 10.1186/1471-2105-8-28
Pubmed ID
Authors

Elena Perelman, Alexander Ploner, Stefano Calza, Yudi Pawitan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Israel 1 3%
Brazil 1 3%
Finland 1 3%
United States 1 3%
Unknown 31 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 43%
Professor > Associate Professor 4 11%
Other 3 8%
Professor 3 8%
Student > Ph. D. Student 3 8%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 49%
Mathematics 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Engineering 2 5%
Chemistry 2 5%
Other 5 14%
Unknown 3 8%
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 08 August 2022.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,321 outputs
Outputs of similar age
#44,287
of 162,268 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 52 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,321 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 162,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.