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X Demographics
Mendeley readers
Attention Score in Context
| Title |
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
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, December 2013
|
| DOI | 10.1186/1471-2474-14-349 |
| Pubmed ID | |
| Authors |
Anna L Swan, Kirsty L Hillier, Julia R Smith, David Allaway, Susan Liddell, Jaume Bacardit, Ali Mobasheri |
| Abstract |
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. |
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 % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
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 | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 4 | 7% |
| Professor | 3 | 5% |
| Other | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 18% |
| Agricultural and Biological Sciences | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Engineering | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 26 | 43% |
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 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.
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 307,365 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 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.