Title |
A national internet-linked based database for pediatric interstitial lung diseases: the French network
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Published in |
Orphanet Journal of Rare Diseases, June 2012
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DOI | 10.1186/1750-1172-7-40 |
Pubmed ID | |
Authors |
Nadia Nathan, Rola Abou Taam, Ralph Epaud, Christophe Delacourt, Antoine Deschildre, Philippe Reix, Raphaël Chiron, Ulrika de Pontbriand, Jacques Brouard, Michaël Fayon, Jean-Christophe Dubus, Lisa Giovannini-Chami, François Bremont, Katia Bessaci, Cyril Schweitzer, Marie-Laure Dalphin, Christophe Marguet, Véronique Houdouin, Françoise Troussier, Anne Sardet, Eglantine Hullo, Isabelle Gibertini, Malika Mahloul, Delphine Michon, Adrien Priouzeau, Laurie Galeron, Jean-François Vibert, Guillaume Thouvenin, Harriet Corvol, Jacques deBlic, Annick Clement, French RespiRare® Group |
Abstract |
Interstitial lung diseases (ILDs) in children represent a heterogeneous group of rare respiratory disorders that affect the lung parenchyma. After the launch of the French Reference Centre for Rare Lung Diseases (RespiRare®), we created a national network and a web-linked database to collect data on pediatric ILD. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Unknown | 60 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 10 | 16% |
Student > Ph. D. Student | 8 | 13% |
Student > Bachelor | 7 | 11% |
Researcher | 6 | 10% |
Student > Postgraduate | 6 | 10% |
Other | 15 | 25% |
Unknown | 9 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 56% |
Agricultural and Biological Sciences | 3 | 5% |
Computer Science | 2 | 3% |
Nursing and Health Professions | 2 | 3% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Other | 6 | 10% |
Unknown | 12 | 20% |