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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of psoriatic arthritis mediators in synovial fluid by quantitative mass spectrometry
|
|---|---|
| Published in |
Clinical Proteomics, July 2014
|
| DOI | 10.1186/1559-0275-11-27 |
| Pubmed ID | |
| Authors |
Daniela Cretu, Ioannis Prassas, Punit Saraon, Ihor Batruch, Rajiv Gandhi, Eleftherios P Diamandis, Vinod Chandran |
| Abstract |
Synovial fluid (SF) is a dynamic reservoir for proteins originating from the synovial membrane, cartilage, and plasma, and may therefore reflect the pathophysiological conditions that give rise to arthritis. Our goal was to identify and quantify protein mediators of psoriatic arthritis (PsA) in SF. |
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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Researcher | 8 | 15% |
| Student > Master | 5 | 9% |
| Other | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 10 | 19% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 33% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Agricultural and Biological Sciences | 7 | 13% |
| Immunology and Microbiology | 3 | 6% |
| Chemistry | 3 | 6% |
| Other | 4 | 7% |
| Unknown | 12 | 22% |
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 22 March 2023.
All research outputs
#14,763,223
of 23,915,168 outputs
Outputs from Clinical Proteomics
#140
of 296 outputs
Outputs of similar age
#119,652
of 231,044 outputs
Outputs of similar age from Clinical Proteomics
#5
of 6 outputs
Altmetric has tracked 23,915,168 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 296 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 48th percentile – i.e., 48% 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 231,044 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 6 others from the same source and published within six weeks on either side of this one.