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Precision Medicine for Neonatal Sepsis

Overview of attention for article published in Frontiers in Molecular Biosciences, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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10 X users
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1 Facebook page

Citations

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47 Dimensions

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146 Mendeley
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Title
Precision Medicine for Neonatal Sepsis
Published in
Frontiers in Molecular Biosciences, July 2018
DOI 10.3389/fmolb.2018.00070
Pubmed ID
Authors

Sherrianne Ng, Tobias Strunk, Pingping Jiang, Tik Muk, Per T. Sangild, Andrew Currie

Abstract

Neonatal sepsis remains a significant cause of morbidity and mortality especially in the preterm infant population. The ability to promptly and accurately diagnose neonatal sepsis based on clinical evaluation and laboratory blood tests remains challenging. Advances in high-throughput molecular technologies have increased investigations into the utility of transcriptomic, proteomic and metabolomic approaches as diagnostic tools for neonatal sepsis. A systems-level understanding of neonatal sepsis, obtained by using omics-based technologies (at the transcriptome, proteome or metabolome level), may lead to new diagnostic tools for neonatal sepsis. In particular, recent omic-based studies have identified distinct transcriptional signatures and metabolic or proteomic biomarkers associated with sepsis. Despite the emerging need for a systems biology approach, future studies have to address the challenges of integrating multi-omic data with laboratory and clinical meta-data in order to translate outcomes into precision medicine for neonatal sepsis. Omics-based analytical approaches may advance diagnostic tools for neonatal sepsis. More research is needed to validate the recent systems biology findings in order to integrate multi-dimensional data (clinical, laboratory and multi-omic) for future translation into precision medicine for neonatal sepsis. This review will discuss the possible applications of omics-based analyses for identification of new biomarkers and diagnostic signatures for neonatal sepsis, focusing on the immune-compromised preterm infant and considerations for clinical translation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 10%
Researcher 13 9%
Student > Ph. D. Student 11 8%
Student > Master 10 7%
Student > Postgraduate 7 5%
Other 28 19%
Unknown 63 43%
Readers by discipline Count As %
Medicine and Dentistry 30 21%
Agricultural and Biological Sciences 9 6%
Biochemistry, Genetics and Molecular Biology 8 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Immunology and Microbiology 5 3%
Other 17 12%
Unknown 71 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 July 2020.
All research outputs
#4,250,554
of 23,323,574 outputs
Outputs from Frontiers in Molecular Biosciences
#388
of 4,010 outputs
Outputs of similar age
#81,535
of 330,914 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#6
of 29 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,010 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 90% 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 330,914 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 75% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.