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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Unknown | 59 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Master | 10 | 16% |
| Student > Ph. D. Student | 9 | 15% |
| Other | 5 | 8% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 36% |
| Engineering | 9 | 15% |
| Agricultural and Biological Sciences | 3 | 5% |
| Psychology | 2 | 3% |
| Computer Science | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 18 | 30% |
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
#14,783,222
of 22,759,618 outputs
Outputs from BMC Musculoskeletal Disorders
#2,295
of 4,037 outputs
Outputs of similar age
#126,652
of 230,320 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#45
of 92 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,037 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 39th percentile – i.e., 39% 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 230,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.