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Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients

Overview of attention for article published in Pediatric Rheumatology, September 2014
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Title
Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients
Published in
Pediatric Rheumatology, September 2014
DOI 10.1186/1546-0096-12-s1-p176
Authors

Alessandro Consolaro, Francesca Bovis, Ekaterina Alexeeva, Violeta Panaviene, Jordi Anton, Susan Nielsen, Gordana Susic, Maria Trachana, Troels Herlin, Nico Wulffraat, Pavla Dolezalova, Yosef Uziel, Nahid Shafaie, Ingrida Rumba-Rozenfelde, Valda Stanevicha, Nicolino Ruperto, Daniel Lovell, Angelo Ravelli, Alberto Martini, PRINTO

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Other 2 25%
Student > Postgraduate 1 13%
Professor > Associate Professor 1 13%
Unknown 4 50%
Readers by discipline Count As %
Medicine and Dentistry 4 50%
Unknown 4 50%