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 Research Information System University of Greifswald




Original article | published - EPub | peer reviewed | Open Access

SHIP-MR and Radiology: 12 Years of Whole-Body Magnetic Resonance Imaging in a Single Center


Healthcare 2022 / January ; 10(1): 33 -


Bibliometric indicators



Impact Factor = 2.8

Citations (WOS) = 12

DOI = 10.3390/healthcare10010033

PubMed-ID = 35052197




Abstract

The Study of Health in Pomerania (SHIP), a population-based study from a rural state in northeastern Germany with a relatively poor life expectancy, supplemented its comprehensive examination program in 2008 with whole-body MR imaging at 1.5 T (SHIP-MR). We reviewed more than 100 publications that used the SHIP-MR data and analyzed which sequences already produced fruitful scientific outputs and which manuscripts have been referenced frequently. Upon reviewing the publications about imaging sequences, those that used T1-weighted structured imaging of the brain and a gradient-echo sequence for R2* mapping obtained the highest scientific output; regarding specific body parts examined, most scientific publications focused on MR sequences involving the brain and the (upper) abdomen. We conclude that population-based MR imaging in cohort studies should define more precise goals when allocating imaging time. In addition, quality control measures might include recording the number and impact of published work, preferably on a bi-annual basis and starting 2 years after initiation of the study. Structured teaching courses may enhance the desired output in areas that appear underrepresented.

Published in

Healthcare


Year 2022
Month/Hj January
Impact Factor (2022) 2.8
Volume 10
Issue 1
Pages 33 -
Open Access ja
Peer reviewed ja
Article type Original article
Article state published - EPub
DOI 10.3390/healthcare10010033
PubMed-ID 35052197

Common journal data

Short name: HEALTHCARE-BASEL
ISSN: N/A
eISSN: 2227-9032
Country: SWITZERLAND
Language: English
Categories:
  • HEALTH CARE SCIENCES & SERVICES
  • HEALTH POLICY & SERVICES


Impact factor trend

Year Impact Factor
2019 1.916
2020 2.645
2021 3.16
2022 2.8
2023 2.4
2024 2.7

Departments

Community Medicine

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