Title |
Contrasting disease patterns in seropositive and seronegative neuromyelitis optica: A multicentre study of 175 patients
|
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Published in |
Journal of Neuroinflammation, January 2012
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DOI | 10.1186/1742-2094-9-14 |
Pubmed ID | |
Authors |
Sven Jarius, Klemens Ruprecht, Brigitte Wildemann, Tania Kuempfel, Marius Ringelstein, Christian Geis, Ingo Kleiter, Christoph Kleinschnitz, Achim Berthele, Johannes Brettschneider, Kerstin Hellwig, Bernhard Hemmer, Ralf A Linker, Florian Lauda, Christoph A Mayer, Hayrettin Tumani, Arthur Melms, Corinna Trebst, Martin Stangel, Martin Marziniak, Frank Hoffmann, Sven Schippling, Jürgen H Faiss, Oliver Neuhaus, Barbara Ettrich, Christian Zentner, Kersten Guthke, Ulrich Hofstadt-van Oy, Reinhard Reuss, Hannah Pellkofer, Ulf Ziemann, Peter Kern, Klaus P Wandinger, Florian Then Bergh, Tobias Boettcher, Stefan Langel, Martin Liebetrau, Paulus S Rommer, Sabine Niehaus, Christoph Münch, Alexander Winkelmann, Uwe K Zettl U, Imke Metz, Christian Veauthier, Jörn P Sieb, Christian Wilke, Hans P Hartung, Orhan Aktas, Friedemann Paul |
Abstract |
The diagnostic and pathophysiological relevance of antibodies to aquaporin-4 (AQP4-Ab) in patients with neuromyelitis optica spectrum disorders (NMOSD) has been intensively studied. However, little is known so far about the clinical impact of AQP4-Ab seropositivity. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 4 | 1% |
Germany | 2 | <1% |
Japan | 2 | <1% |
Australia | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
France | 1 | <1% |
Unknown | 348 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 50 | 14% |
Student > Master | 42 | 12% |
Other | 35 | 10% |
Student > Ph. D. Student | 30 | 8% |
Student > Doctoral Student | 28 | 8% |
Other | 87 | 24% |
Unknown | 87 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 144 | 40% |
Neuroscience | 56 | 16% |
Agricultural and Biological Sciences | 22 | 6% |
Immunology and Microbiology | 8 | 2% |
Unspecified | 8 | 2% |
Other | 30 | 8% |
Unknown | 91 | 25% |