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Tests for finding complex patterns of differential expression in cancers: towards individualized medicine

Overview of attention for article published in BMC Bioinformatics, August 2004
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Mentioned by

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2 X users

Citations

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37 Dimensions

Readers on

mendeley
46 Mendeley
citeulike
3 CiteULike
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Title
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Published in
BMC Bioinformatics, August 2004
DOI 10.1186/1471-2105-5-110
Pubmed ID
Authors

James Lyons-Weiler, Satish Patel, Michael J Becich, Tony E Godfrey

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

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 2 4%
Korea, Republic of 1 2%
Japan 1 2%
Denmark 1 2%
Unknown 39 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 33%
Professor > Associate Professor 8 17%
Student > Ph. D. Student 6 13%
Student > Master 5 11%
Other 4 9%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 37%
Computer Science 8 17%
Medicine and Dentistry 7 15%
Mathematics 4 9%
Engineering 2 4%
Other 4 9%
Unknown 4 9%
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 27 May 2014.
All research outputs
#15,986,645
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#4,983
of 7,672 outputs
Outputs of similar age
#59,349
of 65,853 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% 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 65,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them