Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning
Osteoarthritis (OA) is an inflammatory disease of synovial joints involving the loss and degeneration of articular cartilage. The gold standard for evaluating cartilage loss in OA is the measurement of joint space width on standard radiographs. However, in most cases the diagnosis is made well after the onset of the disease, when the symptoms are well established. Identification of early biomarkers of OA can facilitate earlier diagnosis, improve disease monitoring and predict responses to therapeutic interventions.
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 10 April 2018.
All research outputs
#13,904,244
of 22,736,112 outputs
Outputs from BMC Musculoskeletal Disorders
#2,022
of 4,032 outputs
Outputs of similar age
#172,833
of 307,365 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#37
of 87 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,032 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
