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Therapeutic potential of mesenchymal stem cell based therapy for osteoarthritis

Overview of attention for article published in Clinical and Translational Medicine, August 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Citations

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59 Dimensions

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143 Mendeley
Title
Therapeutic potential of mesenchymal stem cell based therapy for osteoarthritis
Published in
Clinical and Translational Medicine, August 2016
DOI 10.1186/s40169-016-0112-7
Pubmed ID
Authors

John Burke, Monte Hunter, Ravindra Kolhe, Carlos Isales, Mark Hamrick, Sadanand Fulzele

Abstract

Osteoarthritis (OA) is a chronic degenerative disease affecting articular cartilage in joints, and it is a leading cause of disability in the United States. Current pharmacological treatment strategies are ineffective to prevent the OA progression; however, cellular therapies have the potential to regenerate the lost cartilage, combat cartilage degeneration, provide pain relief, and improve patient mobility. One of the most promising sources of cellular regenerative medicine is from mesenchymal stem cells (MSCs). MSCs can be isolated from adipose tissue, bone marrow, synovial tissue, and other sources. The aim of this review is to compile recent advancement in cellular based therapy more specifically in relation to MSCs in the treatment of osteoarthritis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 18%
Student > Master 25 17%
Student > Ph. D. Student 19 13%
Student > Bachelor 14 10%
Student > Doctoral Student 11 8%
Other 23 16%
Unknown 25 17%
Readers by discipline Count As %
Medicine and Dentistry 30 21%
Biochemistry, Genetics and Molecular Biology 27 19%
Agricultural and Biological Sciences 16 11%
Engineering 10 7%
Nursing and Health Professions 5 3%
Other 23 16%
Unknown 32 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 October 2016.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Clinical and Translational Medicine
#337
of 1,060 outputs
Outputs of similar age
#134,195
of 371,400 outputs
Outputs of similar age from Clinical and Translational Medicine
#7
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 66% 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 371,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 53% of its contemporaries.