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Biomarkers of severe dengue disease – a review

Overview of attention for article published in Journal of Biomedical Science, October 2015
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2 X users

Citations

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91 Dimensions

Readers on

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273 Mendeley
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Title
Biomarkers of severe dengue disease – a review
Published in
Journal of Biomedical Science, October 2015
DOI 10.1186/s12929-015-0191-6
Pubmed ID
Authors

Daisy Vanitha John, Yee-Shin Lin, Guey Chuen Perng

Abstract

Dengue virus infection presents a wide spectrum of manifestations including asymptomatic condition, dengue fever (DF), or severe forms, such as dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) in affected individuals. The early prediction of severe dengue in patients without any warning signs who may later develop severe DHF is very important to choose appropriate intensive supportive therapy since available vaccines for immunization are yet to be approved. Severe dengue responses include T and B cell activation and apoptosis, cytokine storm, hematologic disorders and complement activation. Cytokines, complement and other unidentified factors may transiently act on the endothelium and alter normal fluid barrier function of the endothelial cells and cause plasma leakage. In this review, the host factors such as activated immune and endothelial cells and their products which can be utilized as biomarkers for severe dengue disease are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 269 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 15%
Student > Ph. D. Student 40 15%
Student > Bachelor 33 12%
Researcher 29 11%
Student > Postgraduate 19 7%
Other 40 15%
Unknown 71 26%
Readers by discipline Count As %
Medicine and Dentistry 56 21%
Immunology and Microbiology 37 14%
Biochemistry, Genetics and Molecular Biology 28 10%
Agricultural and Biological Sciences 26 10%
Chemistry 7 3%
Other 32 12%
Unknown 87 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2022.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from Journal of Biomedical Science
#710
of 1,101 outputs
Outputs of similar age
#164,884
of 291,148 outputs
Outputs of similar age from Journal of Biomedical Science
#14
of 26 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 31st percentile – i.e., 31% 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 291,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.