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Bioinformatic-driven search for metabolic biomarkers in disease

Overview of attention for article published in Journal of Clinical Bioinformatics, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
162 Mendeley
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Title
Bioinformatic-driven search for metabolic biomarkers in disease
Published in
Journal of Clinical Bioinformatics, January 2011
DOI 10.1186/2043-9113-1-2
Pubmed ID
Authors

Christian Baumgartner, Melanie Osl, Michael Netzer, Daniela Baumgartner

Abstract

The search and validation of novel disease biomarkers requires the complementary power of professional study planning and execution, modern profiling technologies and related bioinformatics tools for data analysis and interpretation. Biomarkers have considerable impact on the care of patients and are urgently needed for advancing diagnostics, prognostics and treatment of disease. This survey article highlights emerging bioinformatics methods for biomarker discovery in clinical metabolomics, focusing on the problem of data preprocessing and consolidation, the data-driven search, verification, prioritization and biological interpretation of putative metabolic candidate biomarkers in disease. In particular, data mining tools suitable for the application to omic data gathered from most frequently-used type of experimental designs, such as case-control or longitudinal biomarker cohort studies, are reviewed and case examples of selected discovery steps are delineated in more detail. This review demonstrates that clinical bioinformatics has evolved into an essential element of biomarker discovery, translating new innovations and successes in profiling technologies and bioinformatics to clinical application.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 2%
Spain 2 1%
Finland 2 1%
Malaysia 1 <1%
France 1 <1%
Sweden 1 <1%
Australia 1 <1%
Portugal 1 <1%
Egypt 1 <1%
Other 3 2%
Unknown 146 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 27%
Student > Ph. D. Student 31 19%
Student > Master 27 17%
Student > Bachelor 14 9%
Professor > Associate Professor 10 6%
Other 15 9%
Unknown 21 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 30%
Computer Science 23 14%
Biochemistry, Genetics and Molecular Biology 17 10%
Chemistry 14 9%
Medicine and Dentistry 11 7%
Other 22 14%
Unknown 26 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 January 2011.
All research outputs
#5,422,599
of 25,373,627 outputs
Outputs from Journal of Clinical Bioinformatics
#9
of 61 outputs
Outputs of similar age
#34,491
of 193,528 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#1
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 81% 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 193,528 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 3 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