Longitudinal variation in national research publication portfolios: Steps required to index balance and evenness
Author(s) -
Jonathan Adams,
Gordon Rogers,
Warren Smart,
Martin Szomszor
Publication year - 2020
Publication title -
quantitative science studies
Language(s) - English
Resource type - Journals
ISSN - 2641-3337
DOI - 10.1162/qss_a_00073
Subject(s) - species evenness , index (typography) , balance (ability) , diversity (politics) , statistics , regional science , econometrics , gini coefficient , geography , library science , political science , economics , computer science , mathematics , inequality , species diversity , psychology , ecology , mathematical analysis , neuroscience , world wide web , economic inequality , law , biology
National research diversity is explored through the balance of global and national papers in journal categories in the Web of Science (WoS) and Essential Science Indicators (ESI) and we examine the consequences of “normalizing” national publication counts against global baselines. Global balance across subject categories became more even as annual WoS indexing grew fourfold between 1981 and 2018, with a relative shift from biomedicine towards environment and technology. Change at the country level may have tracked this or been influenced by local policy and funding. We discuss choice of methods and indices for analysis: WoS categories provide better granularity than ESI; Lorenz curves are explored but found limiting; the Pratt index, Gini coefficient, and Shannon diversity are compared. At the national level, balance generally increases and is greatest in non-Anglophone countries, perhaps due to shifts in language and journal use. Two aspects of national change are revealed: the balance of actual WoS paper counts and the balance of counts normalized against world baseline. The broad patterns for these analyses are similar, but normalized data indicate relatively greater evenness. National patterns link to research capacity and regional networking opportunities, while international collaboration may blend national differences. A data set is provided for analytical use.
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