scholarly journals Scientific risk reporting in medical journals can bias expert judgment: Comparing surgeons’ risk comprehension across reporting formats.

2020 ◽  
Vol 26 (2) ◽  
pp. 283-299 ◽  
Author(s):  
Rocio Garcia-Retamero ◽  
Dafina Petrova ◽  
Edward T. Cokely ◽  
Alexander Joeris
Keyword(s):  
Expert Judgment ◽  
Medical Journals ◽  
Risk Comprehension ◽  
Risk Reporting

The uses of medical journals

JAMA ◽  
1966 ◽  
Vol 195 (2) ◽  
pp. 122-122
Keyword(s):  
Medical Journals

TheOrvosi Hetilap (Hungarian Medical Journal)in the network of medical journals

2014 ◽  
Vol 155 (22) ◽  
pp. 876-879
Author(s):  
András Schubert
Keyword(s):  
Medical Journal ◽  
Scientific Knowledge ◽  
Knowledge Network ◽  
Scientific Journals ◽  
Scientific Enterprise ◽  
Medical Journals ◽  
The Subject

The role of networks is swiftly increasing in the production and communication of scientific knowledge. Network aspects have, therefore, an ever growing importance in the analysis of the scientific enterprise, as well. The present paper demonstrates some techniques of studying the network of scientific journals on the subject of seeking the position of Orvosi Hetilap (Hungarian Medical Journal) in the international journal network. Orv. Hetil., 2014, 155(22), 876–879.

Applied Status and Quality of Graphs in Five Academic Medical Journals in Shanghai (Preprint)

2018 ◽  
Author(s):  
Zisheng Ai ◽  
Yuhong Tang ◽  
Jiaqi Zheng ◽  
Sanyou Wu ◽  
Ying Wu
Keyword(s):  
Evaluation Criteria ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Medical Journals ◽  
Graph Type ◽  
Academic Medical ◽  
Substantial Problem ◽  
Error Bias ◽  
Important Form

BACKGROUND Figures are an important form of expressing results commonly found in medical papers and make data easy to read and compare. The quality of graphs in original papers has improved in western medical journals. However, some figures fail to correctly express the results of a paper. Additionally, graph quality and application has not been assessed in medical journals outside western countries. OBJECTIVE To determine the frequency and types of data graphs used in Chinese academic medical journals and evaluate the quality of graphs used in original medical papers. METHODS A total of 783 papers were surveyed from the medical journals of five colleges and universities in Shanghai from 2011 to 2015. A cross-sectional study was used to analyse the applied status and graph quality. The evaluation criteria of graphs mainly included graph type, visual clarity, completeness, and special standards. RESULTS Most authors prefer to use simple charts, and bar charts with 95% CI were the most widely used. More than 60% of charts have problems with visual clarity, completeness, and special standards. Of 841 incorrect graphs, 10 (0.58%) graphs had three combined problems of graph characteristics, and 292 (34.72%) graphs had any two combined problems of graph characteristics. For detailed errors, the absence of variance description was the most substantial problem, especially in 2014 and in some academic medical journals. CONCLUSIONS Graphs are less commonly applied in the five university journals. However, the quality of papers using graphs was not properly controlled. Editors and journal quality management should strengthen the quality control of charts in papers. Authors should also avoid error bias and distorting their conclusions.

scholarly journals The Trouble with Medical Journals by Richard Smith: an alternative view

BMJ ◽  
2007 ◽  
Vol 334 (7585) ◽  
pp. 125-125 ◽  
Author(s):  
Pritpal S Tamber
Keyword(s):  
Alternative View ◽  
Medical Journals
Sign in / Sign up

Export Citation Format

Share Document