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Mendeley readers
Attention Score in Context
| Title |
Autoantibody profiling for the study and treatment of autoimmune disease
|
|---|---|
| Published in |
Arthritis Research & Therapy, May 2002
|
| DOI | 10.1186/ar426 |
| Pubmed ID | |
| Authors |
Wolfgang Hueber, Paul J Utz, Lawrence Steinman, William H Robinson |
| Abstract |
Proteomics technologies enable profiling of autoantibody responses using biological fluids derived from patients with autoimmune disease. They provide a powerful tool to characterize autoreactive B-cell responses in diseases including rheumatoid arthritis, multiple sclerosis, autoimmune diabetes, and systemic lupus erythematosus. Autoantibody profiling may serve purposes including classification of individual patients and subsets of patients based on their 'autoantibody fingerprint', examination of epitope spreading and antibody isotype usage, discovery and characterization of candidate autoantigens, and tailoring antigen-specific therapy. In the coming decades, proteomics technologies will broaden our understanding of the underlying mechanisms of and will further our ability to diagnose, prognosticate and treat autoimmune disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 2 | 3% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| Portugal | 1 | 1% |
| Unknown | 73 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Ph. D. Student | 17 | 21% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 8 | 10% |
| Other | 7 | 9% |
| Other | 14 | 18% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 39% |
| Medicine and Dentistry | 11 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Engineering | 6 | 8% |
| Neuroscience | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 10 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 February 2024.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Arthritis Research & Therapy
#1,263
of 3,380 outputs
Outputs of similar age
#18,154
of 127,410 outputs
Outputs of similar age from Arthritis Research & Therapy
#6
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,380 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 59% 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 127,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.