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Osteoarthritis year in review 2015: soluble biomarkers and the BIPED criteria

Overview of attention for article published in Osteoarthritis and Cartilage, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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2 X users
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11 patents

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266 Mendeley
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Article details
Title
Osteoarthritis year in review 2015: soluble biomarkers and the BIPED criteria
Published in
Osteoarthritis and Cartilage, January 2016
DOI 10.1016/j.joca.2015.10.014
Pubmed ID
Authors
Abstract

To review and summarize biomarker data published from April 2014 to May 2015 to provide insight to the ongoing work in the field of osteoarthritis (OA). Furthermore, to summarize the BIPED criteria and set it in context of the medical needs of 2015. PubMed was used as searching machine: Time period 2014/04/01-2015/05/01, MeSH term [Biomarker] AND [Osteoarthritis], Language; English, Full text available. Reviews were excluded. Only papers describing protein based biomarkers measured in human body fluids from OA patients were included. Biomarkers of joint tissue turnover, cytokines, chemokines and peptide arrays were measured in different cohorts and studies. Amongst those were previously tested biomarkers such as osteocalcin, Carboxy-terminal cross-linked fragment of type II collagen (CTX-II) and cartilage oligomeric matrix protein (COMP). A majority of the biomarker were classified as I, B or B biomarkers according to the BIPED criteria. Work is continuing on testing biomarkers in OA. There is still a huge, unmet medical need to identify, test, validate and qualify novel and well-known biomarkers. A pre-requisite for this is better characterization and classification of biomarkers to their needs, which may not be reached before higher understanding of OA phenotypes has been gained. In addition, we provide some references to some recent guidelines from Food and Drug Administration (FDA) and European Medicines Agency (EMA) on qualification and usage of biomarkers for drug development and personalized medicine, which may provide value to the field.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 266 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 %
Denmark 3 1%
United Kingdom 2 <1%
United States 1 <1%
Netherlands 1 <1%
France 1 <1%
Finland 1 <1%
Germany 1 <1%
Canada 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 254 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 49 18%
Researcher 48 18%
Student > Bachelor 25 9%
Student > Master 23 9%
Other 14 5%
Other 36 14%
Unknown 71 27%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 76 29%
Agricultural and Biological Sciences 28 11%
Biochemistry, Genetics and Molecular Biology 25 9%
Engineering 11 4%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 39 15%
Unknown 80 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 August 2025.
All research outputs
#2,783,279
of 33,503,639 outputs
Outputs from Osteoarthritis and Cartilage
#393
of 3,827 outputs
Outputs of similar age
#37,190
of 442,952 outputs
Outputs of similar age from Osteoarthritis and Cartilage
#6
of 54 outputs
Altmetric has tracked 33,503,639 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,827 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 89% 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 442,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.