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Merging microarray data from separate breast cancer studies provides a robust prognostic test

Overview of attention for article published in BMC Bioinformatics, February 2008
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94 Mendeley
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Title
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Published in
BMC Bioinformatics, February 2008
DOI 10.1186/1471-2105-9-125
Authors

Lei Xu, Aik Choon Tan, Raimond L Winslow, Donald Geman

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

Geographical breakdown

Country Count As %
Ukraine 2 2%
Netherlands 1 1%
United Kingdom 1 1%
Germany 1 1%
Canada 1 1%
Belgium 1 1%
Spain 1 1%
Luxembourg 1 1%
Unknown 85 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 30%
Student > Ph. D. Student 18 19%
Student > Bachelor 8 9%
Professor > Associate Professor 6 6%
Professor 5 5%
Other 19 20%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 27%
Medicine and Dentistry 19 20%
Computer Science 16 17%
Biochemistry, Genetics and Molecular Biology 8 9%
Mathematics 5 5%
Other 5 5%
Unknown 16 17%
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 04 September 2021.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from BMC Bioinformatics
#6,307
of 7,273 outputs
Outputs of similar age
#73,357
of 79,351 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 45 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 79,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.