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Development of a rapid knee cartilage damage quantification method using magnetic resonance images

Overview of attention for article published in BMC Musculoskeletal Disorders, August 2014
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Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

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15 Dimensions

Readers on

mendeley
37 Mendeley
Title
Development of a rapid knee cartilage damage quantification method using magnetic resonance images
Published in
BMC Musculoskeletal Disorders, August 2014
DOI 10.1186/1471-2474-15-264
Pubmed ID
Authors

Ming Zhang, Jeffrey B Driban, Lori Lyn Price, Daniel Harper, Grace H Lo, Eric Miller, Robert J Ward, Timothy E McAlindon

Abstract

Cartilage morphometry based on magnetic resonance images (MRIs) is an emerging outcome measure for clinical trials among patients with knee osteoarthritis (KOA). However, current methods for cartilage morphometry take many hours per knee and require extensive training on the use of the associated software. In this study we tested the feasibility, reliability, and construct validity of a novel osteoarthritis cartilage damage quantification method (Cartilage Damage Index [CDI]) that utilizes informative locations on knee MRIs.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 8 22%
Student > Master 6 16%
Unspecified 4 11%
Student > Postgraduate 3 8%
Other 6 16%
Readers by discipline Count As %
Medicine and Dentistry 16 43%
Unspecified 8 22%
Engineering 6 16%
Agricultural and Biological Sciences 3 8%
Psychology 1 3%
Other 3 8%

Attention Score in Context

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 07 August 2014.
All research outputs
#2,491,817
of 5,036,026 outputs
Outputs from BMC Musculoskeletal Disorders
#951
of 1,695 outputs
Outputs of similar age
#58,507
of 126,726 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#58
of 97 outputs
Altmetric has tracked 5,036,026 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,695 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 36th percentile – i.e., 36% 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 126,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.