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JMIR Dermatology (JDerm) is a new sister journal of JMIR (the leading open-access journal in health informatics (Impact Factor 2016: 5.175), focusing on technologies, medical devices, apps, engineering, informatics applications for patient education in dermatology, including preventative interventions (e.g. skin cancer prevention) and clinical care for dermatological populations.
As open access journal we are read by clinicians and patients alike and have (as all JMIR journals) a focus on readable and applied science reporting the design and evaluation of health innovations and emerging technologies. We publish original research, viewpoints, and reviews (both literature reviews and medical device/technology/app reviews).
During a limited period of time, there are no fees to publish in this journal. Articles are carfully copyedited and XML-tagged, ready for submission in PubMed Central.
Be a founding author of this new journal and submit your paper today!
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Background: Google Maps and social network analysis (SNA) are cutting edge methods and technologies that provide an insight into the big data and data analytics for readers to understand the pattern o...
Background: Google Maps and social network analysis (SNA) are cutting edge methods and technologies that provide an insight into the big data and data analytics for readers to understand the pattern of phenomena we concern. Dominant nations in the long term are from the U.S. and Europe in science. Whether the trend has been changed, particularly on the topic of dermatology and cancer, requires studying and visual analytics using Google maps and SNA. Objective: To apply SNA to the pattern of international author collaborations on the topic of dermatology and cancer using data from Medline and to visualize the results on the Google Maps. Methods: We obtained 44,411 abstracts on April 12, 2018, from Medline based on the keywords of dermatology and cancer since 1950. The author names, countries/areas, and journals were recorded. We disclosed following features: (1) nation distribution for 1st author’s and most popular journals; (2) four stages’ pattern of international author collaborations on Google Maps with two types of displays(by continents and clusters), (3) network density used for evaluating the trend change of the international author collaborations and Kendall’s coefficient (W) used for determining the concordance to the trend; (4) the number of paper publications is association with the country’s gross domestic product (GDP). We programmed Microsoft Excel VBA routines to extract data from Medline. Google Maps and SNA Pajek software were performed to display the graphical representations. Results: We found that (1) the most number of papers on the topic of dermatology and cancer are from the U.S.(13,805, 34.34%), Germany(4,261,10.60%), and Japan( 4,042, 10.05%); (2)both patterns of international author collaborations (by continents and clusters) display on Google Maps with an easy-to-read feature for readers; (3) Kendall’s coefficient shows a significant concordance (W=0.91, =16.4, d.f.=3, p<0.001) in author collaboration trend across four classified stages over the years;(4) the correlation coefficient between the number of paper publications and the country’s GDP is 0.74(t=11.46). Conclusions: Social network analysis provides wide and deep insight into the relationships with the pattern of international author collaborations among nations. The results can provide readers with knowledge and concept maps for understanding the trend of paper publications on the topic of dermatology and cancer.