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Academic support network reflects doctoral experience and productivity

Ozgur Can Seckin, Onur Varol · EPJ Data Science · 2022

AbstractCurrent practices of quantifying academic performance by productivity raise serious concerns about the psychological well-being of graduate students. These efforts often neglect the influence of researchers’ environment. Acknowledgments in dissertation subsections shed light on this environment by providing an opportunity for students to thank the people who supported them. We analysed 26,236 acknowledgments to create an “academic support network” that reveals five distinct communities that support students along the way: Academic, Administration, Family, Friends & Colleagues, and Spiritual. We show that female students mention fewer people from each of these communities, with the exception of their families, and that their productivity is slightly lower than that of males when considering the number of publications alone. This is critically important because it means that studying the doctoral process may help us better understand the adverse conditions women face early in their academic careers. Our results also suggest that the total number of people mentioned in the acknowledgements allows disciplines to be categorised as either individual science or team science as

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