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Circulating microRNAs as Potential Biomarkers of Infectious Disease

Overview of attention for article published in Frontiers in immunology, February 2017
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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)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Citations

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303 Mendeley
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Title
Circulating microRNAs as Potential Biomarkers of Infectious Disease
Published in
Frontiers in immunology, February 2017
DOI 10.3389/fimmu.2017.00118
Pubmed ID
Authors

Carolina N. Correia, Nicolas C. Nalpas, Kirsten E. McLoughlin, John A. Browne, Stephen V. Gordon, David E. MacHugh, Ronan G. Shaughnessy

Abstract

microRNAs (miRNAs) are a class of small non-coding endogenous RNA molecules that regulate a wide range of biological processes by post-transcriptionally regulating gene expression. Thousands of these molecules have been discovered to date, and multiple miRNAs have been shown to coordinately fine-tune cellular processes key to organismal development, homeostasis, neurobiology, immunobiology, and control of infection. The fundamental regulatory role of miRNAs in a variety of biological processes suggests that differential expression of these transcripts may be exploited as a novel source of molecular biomarkers for many different disease pathologies or abnormalities. This has been emphasized by the recent discovery of remarkably stable miRNAs in mammalian biofluids, which may originate from intracellular processes elsewhere in the body. The potential of circulating miRNAs as biomarkers of disease has mainly been demonstrated for various types of cancer. More recently, however, attention has focused on the use of circulating miRNAs as diagnostic/prognostic biomarkers of infectious disease; for example, human tuberculosis caused by infection with Mycobacterium tuberculosis, sepsis caused by multiple infectious agents, and viral hepatitis. Here, we review these developments and discuss prospects and challenges for translating circulating miRNA into novel diagnostics for infectious disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Switzerland 1 <1%
Unknown 301 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 17%
Student > Ph. D. Student 44 15%
Student > Master 30 10%
Student > Bachelor 30 10%
Student > Doctoral Student 20 7%
Other 50 17%
Unknown 79 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 19%
Agricultural and Biological Sciences 36 12%
Medicine and Dentistry 34 11%
Immunology and Microbiology 30 10%
Engineering 10 3%
Other 50 17%
Unknown 84 28%
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 25 January 2020.
All research outputs
#4,816,081
of 25,483,400 outputs
Outputs from Frontiers in immunology
#5,309
of 31,797 outputs
Outputs of similar age
#78,921
of 319,651 outputs
Outputs of similar age from Frontiers in immunology
#82
of 398 outputs
Altmetric has tracked 25,483,400 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 31,797 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 83% 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 319,651 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 398 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.