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Bench-to-bedside review: Future novel diagnostics for sepsis - a systems biology approach

Overview of attention for article published in Critical Care, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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8 X users

Citations

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51 Dimensions

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105 Mendeley
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Title
Bench-to-bedside review: Future novel diagnostics for sepsis - a systems biology approach
Published in
Critical Care, October 2013
DOI 10.1186/cc12693
Pubmed ID
Authors

Simon Skibsted, Manoj K Bhasin, William C Aird, Nathan I Shapiro

Abstract

The early, accurate diagnosis and risk stratification of sepsis remains an important challenge in the critically ill. Since traditional biomarker strategies have not yielded a gold standard marker for sepsis, focus is shifting towards novel strategies that improve assessment capabilities. The combination of technological advancements and information generated through the human genome project positions systems biology at the forefront of biomarker discovery. While previously available, developments in the technologies focusing on DNA, gene expression, gene regulatory mechanisms, protein and metabolite discovery have made these tools more feasible to implement and less costly, and they have taken on an enhanced capacity such that they are ripe for utilization as tools to advance our knowledge and clinical research. Medicine is in a genome-level era that can leverage the assessment of thousands of molecular signals beyond simply measuring selected circulating proteins. Genomics is the study of the entire complement of genetic material of an individual. Epigenetics is the regulation of gene activity by reversible modifications of the DNA. Transcriptomics is the quantification of the relative levels of messenger RNA for a large number of genes in specific cells or tissues to measure differences in the expression levels of different genes, and the utilization of patterns of differential gene expression to characterize different biological states of a tissue. Proteomics is the large-scale study of proteins. Metabolomics is the study of the small molecule profiles that are the terminal downstream products of the genome and consists of the total complement of all low-molecular-weight molecules that cellular processes leave behind. Taken together, these individual fields of study may be linked during a systems biology approach. There remains a valuable opportunity to deploy these technologies further in human research. The techniques described in this paper not only have the potential to increase the spectrum of diagnostic and prognostic biomarkers in sepsis, but they may also enable the discovery of new disease pathways. This may in turn lead us to improved therapeutic targets. The objective of this paper is to provide an overview and basic framework for clinicians and clinical researchers to better understand the 'omics technologies' to enhance further use of these valuable tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Master 18 17%
Other 12 11%
Student > Ph. D. Student 12 11%
Student > Bachelor 10 10%
Other 23 22%
Unknown 9 9%
Readers by discipline Count As %
Medicine and Dentistry 36 34%
Agricultural and Biological Sciences 22 21%
Biochemistry, Genetics and Molecular Biology 13 12%
Engineering 7 7%
Immunology and Microbiology 4 4%
Other 14 13%
Unknown 9 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 October 2014.
All research outputs
#7,144,242
of 25,660,026 outputs
Outputs from Critical Care
#3,965
of 6,600 outputs
Outputs of similar age
#60,108
of 221,072 outputs
Outputs of similar age from Critical Care
#44
of 104 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 39th percentile – i.e., 39% 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 221,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.