- Title
- Erratum to: Understanding and preventing type 1 diabetes through the unique working model of TrialNet
- Creators
- Manuela Battaglia - Diabetes Research Institute (DRI), IRCCS San Raffaele Scientific Institute, Via Olgettina 58, 20132, Milan, Italy. battaglia.manuela@hsr.itMark S Anderson - Diabetes Center, University of California, San Francisco, CA, USAJane H Buckner - Translational Research Program, Benaroya Research Institute, Seattle, WA, USASusan M Geyer - Health Informatics Institute, University of South Florida, Tampa, FL, USAPeter A Gottlieb - Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USAThomas W H Kay - Department of Medicine, St Vincent's Hospital, University of Melbourne, Fitzroy, VIC, AustraliaÅke Lernmark - Lund University/CRC, Department of Clinical Sciences, Skane University Hospital, Malmö, SwedenSarah Muller - Health Informatics Institute, University of South Florida, Tampa, FL, USAAlberto Pugliese - Diabetes Research Institute, Department of Medicine, Division of Diabetes Endocrinology and Metabolism, Department of Microbiology and Immunology, Leonard Miller School of Medicine University of Miami, Miami, FL, USABart O Roep - Department of Immunohaematology & Blood Transfusion, Leiden University Medical Center, Leiden, the NetherlandsCarla J Greenbaum - Diabetes Program Benaroya Research Institute, Seattle, WA, USAMark Peakman - Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK. mark.peakman@kcl.ac.uk
- Publication Details
- Diabetologia, Vol.60(12), pp.2540-2540
- Publisher
- Germany
- Academic Unit
- Miller School of Medicine; Diabetes Research Institute (DRI)
- Language
- English
- Resource Type
- Journal article
- PMID
- 28948305
- PMCID
- PMC6828087
- Record Identifier
- 991031560797902976
Journal article
Erratum to: Understanding and preventing type 1 diabetes through the unique working model of TrialNet
Diabetologia, Vol.60(12), pp.2540-2540
2017-12
PMCID: PMC6828087
PMID: 28948305
Metrics
14 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.26 Diabetes
- 1.26.1016 Type 1 Diabetes
- Web Of Science research areas
- Endocrinology & Metabolism
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites