GESIS Leibniz Institute for the Social Sciences: Go to homepage

New publication: Smirnova & Mayr: A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains


Categories: GESIS-News

Smirnova, N., Mayr, P. A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains. Scientometrics (2022). https://doi.org/10.1007/s11192-022-04554-9 (Open Access)

Analysis of acknowledgments is particularly interesting as acknowledgments may give information not only about funding, but they are also able to reveal hidden contributions to authorship and the researcher’s collaboration patterns, context in which research was conducted, and specific aspects of the academic work. The focus of the present research is the analysis of a large sample of acknowledgement texts indexed in the Web of Science (WoS) Core Collection.