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2021
Conference Paper
Titel
Reference distributions of reviews in the web of science - The effects of company policy from 1992-2010
Abstract
Scientific literature reviews are an important entry point for researchers to get a first overview of a scientific topic and to find more publications that are worth reading. Also, evidence exists that reviews are more often cited than original research articles. This makes it important that reviews are correctly classified in literature databases. In our research, we used the Web of Science (WoS) by Clarivate Analytics and analysed a total of 1.8 million reviews. Clarivate had a review classification policy in force from 1992-2010. In the present paper, we wish to highlight the effects this policy has had on the distribution of reviews in the WoS in general and also in the Subject Categories. We find distinct distributions in groups of Subject Categories, discuss their meaning and potential pitfalls for researchers wanting to use reviews in the WoS.