Title |
The Autoimmune Disease Database: a dynamically compiled literature-derived database
|
---|---|
Published in |
BMC Bioinformatics, June 2006
|
DOI | 10.1186/1471-2105-7-325 |
Pubmed ID | |
Authors |
Thomas Karopka, Juliane Fluck, Heinz-Theodor Mevissen, Änne Glass |
Abstract |
Autoimmune diseases are disorders caused by an immune response directed against the body's own organs, tissues and cells. In practice more than 80 clinically distinct diseases, among them systemic lupus erythematosus and rheumatoid arthritis, are classified as autoimmune diseases. Although their etiology is unclear these diseases share certain similarities at the molecular level i.e. susceptibility regions on the chromosomes or the involvement of common genes. To gain an overview of these related diseases it is not feasible to do a literary review but it requires methods of automated analyses of the more than 500,000 Medline documents related to autoimmune disorders. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 6% |
United States | 2 | 4% |
Russia | 1 | 2% |
Germany | 1 | 2% |
Unknown | 42 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 31% |
Student > Ph. D. Student | 8 | 16% |
Student > Master | 6 | 12% |
Student > Doctoral Student | 4 | 8% |
Other | 3 | 6% |
Other | 6 | 12% |
Unknown | 7 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 31% |
Medicine and Dentistry | 6 | 12% |
Biochemistry, Genetics and Molecular Biology | 6 | 12% |
Computer Science | 5 | 10% |
Mathematics | 2 | 4% |
Other | 7 | 14% |
Unknown | 8 | 16% |