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Opportunities and challenges of disease biomarkers: a new section in the journal of translational medicine

Overview of attention for article published in Journal of Translational Medicine, December 2012
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Title
Opportunities and challenges of disease biomarkers: a new section in the journal of translational medicine
Published in
Journal of Translational Medicine, December 2012
DOI 10.1186/1479-5876-10-240
Pubmed ID
Authors

Xiangdong Wang, Peter A Ward

Abstract

Disease biomarkers are defined to diagnose various phases of diseases, monitor severities of diseases and responses to therapies, or predict prognosis of patients. Disease-specific biomarkers should benefit drug discovery and development, integrate multidisciplinary sciences, be validated by molecular imaging. The opportunities and challenges in biomarker development are emphasized and considered. The Journal of Translational Medicine opens a new Section of Disease Biomarkers to bridge identification and validation of gene or protein-based biomarkers, network biomarkers, dynamic network biomarkers in human diseases, patient phenotypes, and clinical applications. Disease biomarkers are also important for determining drug effects, target specificities and binding, dynamic metabolism and pharmacological kinetics, or toxicity profiles.

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

Geographical breakdown

Country Count As %
Sweden 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Ph. D. Student 6 21%
Researcher 5 17%
Student > Bachelor 2 7%
Other 2 7%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Medicine and Dentistry 4 14%
Computer Science 4 14%
Biochemistry, Genetics and Molecular Biology 3 10%
Nursing and Health Professions 1 3%
Other 6 21%
Unknown 4 14%
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 15 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Journal of Translational Medicine
#2,936
of 3,965 outputs
Outputs of similar age
#215,595
of 277,767 outputs
Outputs of similar age from Journal of Translational Medicine
#58
of 86 outputs
Altmetric has tracked 22,689,790 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 3,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 16th percentile – i.e., 16% 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 277,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.