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The more we know, the more we have to discover: an exciting future for understanding cilia and ciliopathies

Overview of attention for article published in Cilia, March 2015
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Title
The more we know, the more we have to discover: an exciting future for understanding cilia and ciliopathies
Published in
Cilia, March 2015
DOI 10.1186/s13630-015-0014-0
Pubmed ID
Authors

Alexandre Benmerah, Bénédicte Durand, Rachel H Giles, Tess Harris, Linda Kohl, Christine Laclef, Sigolène M Meilhac, Hannah M Mitchison, Lotte B Pedersen, Ronald Roepman, Peter Swoboda, Marius Ueffing, Philippe Bastin

Abstract

The Cilia 2014 conference was organised by four European networks: the Ciliopathy Alliance, the Groupement de Recherche CIL, the Nordic Cilia and Centrosome Network and the EU FP7 programme SYSCILIA. More than 400 delegates from 27 countries gathered at the Institut Pasteur conference centre in Paris, including 30 patients and patient representatives. The meeting offered a unique opportunity for exchange between different scientific and medical communities. Major highlights included new discoveries about the roles of motile and immotile cilia during development and homeostasis, the mechanism of cilium construction, as well as progress in diagnosis and possible treatment of ciliopathies. The contributions to the cilia field of flagellated infectious eukaryotes and of systems biology were also presented.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Sweden 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Researcher 16 22%
Student > Doctoral Student 6 8%
Professor 4 6%
Student > Bachelor 4 6%
Other 16 22%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 32%
Biochemistry, Genetics and Molecular Biology 21 29%
Medicine and Dentistry 10 14%
Neuroscience 2 3%
Computer Science 2 3%
Other 4 6%
Unknown 10 14%