THE FIGHT INHERITED RETINAL BLINDNESS! PROJECT

Fight Inherited Retinal Blindness! is an organized, web-based system that uses observational study methods to collect uniform data from patients with inherited retinal disease to track natural history and (uniquely) treatment outcomes. It is free to users who have control over their data.

Authors

Institutions

Publication Details

Journal
Retina
Published
2024-10-17
DOI
https://doi.org/10.1097/iae.0000000000004296
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
1.10
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article

THE FIGHT INHERITED RETINAL BLINDNESS! PROJECT

Mark C. Gillies, John Grigg, Thomas L. Edwards, Robyn V. Jamieson et al.
2 citations
Retina
Genomics and Rare Diseases
1.10
article

THE FIGHT INHERITED RETINAL BLINDNESS! PROJECT

Mark C. Gillies, John Grigg, Thomas L. Edwards, Robyn V. Jamieson, Andrea L. Vincent, Matthew P. Simunovic, M. Dominik Fischer, Alex William Hewitt, Heather G. Mack, Fred K. Chen, Lauren N. Ayton, Michael Hogden, Omar A. Mahroo, Daniel Barthelmes, Panagiotis I. Sergouniotis, Mandeep Singh, Bart Leroy, Anthony T. Moore
article en
2 citations

Abstract

Fight Inherited Retinal Blindness! is an organized, web-based system that uses observational study methods to collect uniform data from patients with inherited retinal disease to track natural history and (uniquely) treatment outcomes. It is free to users who have control over their data.

RetinaVol. 45(2)
University of Auckland (NZ), The University of Western Australia (AU), University of Zurich (CH), Ghent University Hospital (BE), Manchester Royal Eye Hospital (GB), Princess Alexandra Hospital (AU), Children's Hospital at Westmead (AU), Sydney Hospital (AU), Manchester University NHS Foundation Trust (GB), University Hospital of Zurich (CH), Centre for Eye Research Australia (AU), University of California San Francisco Medical Center (US), Moorfields Eye Hospital (GB), Johns Hopkins Hospital (US), University College London (GB)
Good health and well-being
Openalex Percentile: Top 19%
Genomics and Rare Diseases
1.10
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