↓ Skip to main content

Early diagnosis to enable early treatment of pre-osteoarthritis

Overview of attention for article published in Arthritis Research & Therapy, June 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
183 Dimensions

Readers on

mendeley
283 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Early diagnosis to enable early treatment of pre-osteoarthritis
Published in
Arthritis Research & Therapy, June 2012
DOI 10.1186/ar3845
Pubmed ID
Authors

Constance R Chu, Ashley A Williams, Christian H Coyle, Megan E Bowers

Abstract

Osteoarthritis is a prevalent and disabling disease affecting an increasingly large swathe of the world population. While clinical osteoarthritis is a late-stage condition for which disease-modifying opportunities are limited, osteoarthritis typically develops over decades, offering a long window of time to potentially alter its course. The etiology of osteoarthritis is multifactorial, showing strong associations with highly modifiable risk factors of mechanical overload, obesity and joint injury. As such, characterization of pre-osteoarthritic disease states will be critical to support a paradigm shift from palliation of late disease towards prevention, through early diagnosis and early treatment of joint injury and degeneration to reduce osteoarthritis risk. Joint trauma accelerates development of osteoarthritis from a known point in time. Human joint injury cohorts therefore provide a unique opportunity for evaluation of pre-osteoarthritic conditions and potential interventions from the earliest stages of degeneration. This review focuses on recent advances in imaging and biochemical biomarkers suitable for characterization of the pre-osteoarthritic joint as well as implications for development of effective early treatment strategies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 2 <1%
United Kingdom 2 <1%
Israel 1 <1%
Canada 1 <1%
Mexico 1 <1%
China 1 <1%
United States 1 <1%
Unknown 274 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 54 19%
Researcher 41 14%
Student > Ph. D. Student 41 14%
Student > Bachelor 35 12%
Student > Doctoral Student 18 6%
Other 48 17%
Unknown 46 16%
Readers by discipline Count As %
Medicine and Dentistry 90 32%
Engineering 49 17%
Agricultural and Biological Sciences 14 5%
Nursing and Health Professions 10 4%
Biochemistry, Genetics and Molecular Biology 9 3%
Other 47 17%
Unknown 64 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 September 2022.
All research outputs
#6,419,456
of 25,371,288 outputs
Outputs from Arthritis Research & Therapy
#1,389
of 3,380 outputs
Outputs of similar age
#43,502
of 180,777 outputs
Outputs of similar age from Arthritis Research & Therapy
#17
of 79 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,380 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 58% 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 180,777 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 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.