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Extracellular genomic biomarkers of osteoarthritis

Overview of attention for article published in Expert Review of Molecular Diagnostics, December 2017
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Article details
Title
Extracellular genomic biomarkers of osteoarthritis
Published in
Expert Review of Molecular Diagnostics, December 2017
DOI 10.1080/14737159.2018.1415757
Pubmed ID
Authors
Abstract

Introduction Osteoarthritis (OA), a chronic, debilitating and degenerative disease of the joints, is the most common form of arthritis. The seriousness of this prevalent and chronic disease is often overlooked. Disease modifying OA drug development is hindered by the lack of soluble biomarkers to detect OA early. The objective of OA biomarker research is to identify early OA prior to the appearance of radiographic signs and the development of pain. Areas covered This review has focused on extracellular genomic material that could serve as biomarkers of OA. Recent studies have examined the expression of extracellular genomic material such as miRNA, lncRNA, snoRNA, mRNA and cell-free DNA, which are aberrantly expressed in the body fluids of OA patients. Changes in genomic content of peripheral blood mononuclear cells in OA could also function as biomarkers of OA. Expert commentary There is an unmet need for soluble biomarkers for detecting and then monitoring OA disease progression. Extracellular genomic material research may also reveal more about the underlying pathophysiology of OA. Minimally-invasive liquid biopsies such as synovial fluid and blood sampling of genomic material may be more sensitive over radiography in the detection, diagnosis and monitoring of OA in the future.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 9 15%
Student > Master 6 10%
Other 5 8%
Student > Bachelor 4 7%
Other 11 18%
Unknown 15 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 20%
Medicine and Dentistry 11 18%
Agricultural and Biological Sciences 4 7%
Nursing and Health Professions 3 5%
Immunology and Microbiology 2 3%
Other 9 15%
Unknown 19 32%
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 25 December 2017.
All research outputs
#18,578,649
of 23,011,300 outputs
Outputs from Expert Review of Molecular Diagnostics
#735
of 982 outputs
Outputs of similar age
#327,606
of 439,646 outputs
Outputs of similar age from Expert Review of Molecular Diagnostics
#14
of 18 outputs
Altmetric has tracked 23,011,300 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 982 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 439,646 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.