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Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile

Overview of attention for article published in BMC Genomics, December 2011
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Title
Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile
Published in
BMC Genomics, December 2011
DOI 10.1186/1471-2164-12-s5-s3
Pubmed ID
Authors

Chen Zhao, Leming Shi, Weida Tong, John D Shaughnessy, André Oberthuer, Lajos Pusztai, Youping Deng, W Fraser Symmans, Tieliu Shi

Abstract

Microarray data have been used for gene signature selection to predict clinical outcomes. Many studies have attempted to identify factors that affect models' performance with only little success. Fine-tuning of model parameters and optimizing each step of the modeling process often results in over-fitting problems without improving performance.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Denmark 1 5%
Romania 1 5%
Unknown 19 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 45%
Student > Ph. D. Student 3 14%
Lecturer > Senior Lecturer 1 5%
Other 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 5 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 27%
Psychology 3 14%
Medicine and Dentistry 3 14%
Computer Science 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 6 27%

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 08 March 2012.
All research outputs
#17,233,212
of 21,331,631 outputs
Outputs from BMC Genomics
#7,841
of 10,273 outputs
Outputs of similar age
#108,327
of 139,042 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
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So far Altmetric has tracked 10,273 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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