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As of 2023, Annual Review of Medicine is being published as open access, under the Subscribe to Open model. [1] As of 2024, Journal Citation Reports gives the journal a 2023 impact factor of 15.1, ranking it third of 189 titles in the category "Medicine, Research & Experimental". [2]
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science.
The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI) in Philadelphia. Impact factors began to be calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, [4] and became known as Thomson ISI.
JMIR Mental Health (2021 impact factor of 6.33) JMIR mHealth and uHealth (2021 impact factor of 4.95) JMIR Serious Games (2021 impact factor of 3.36) JMIR Medical Informatics (2021 impact factor of 3.23) In June 2023, JMIR Publications announced that 14 of their 34 journals had received Impact Factors, many ranked in the top quartile (Q1) of ...
Current Contents/Social & Behavioral Sciences Current Contents/Clinical Medicine [ 5 ] According to the Journal Citation Reports , the journal has a 2016 impact factor of 3.081, ranking it 15th out of 89 journals in the category "Health Care Sciences and Services".
While these journals still did not receive an impact factor until the next year, they did contribute citations to the calculation of other journals' impact factors. [ 4 ] [ 5 ] In July 2022, Clarivate announced that journals in the ESCI obtain an impact factor effective from JCR Year 2022 first released in June 2023.
Scopus is a scientific abstract and citation database, launched by the academic publisher Elsevier as a competitor to older Web of Science in 2004. [1] An ensuing competition between the two databases has been characterized as "intense" and is considered to significantly benefit their users in terms of continuous improvent in coverage, search/analysis capabilities, but not in price.
Inception [1] is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamed Inception v1).). The series was historically important as an early CNN that separates the stem (data ingest), body (data processing), and head (prediction), an architectural design that persists in all modern