The paper presents the main technological stages of deep the matic indexing and its benefitsfor the information center acquisitions service. The most common problems of journal thematic attribution as a whole in global citation indexes are considered. It is argued that deep document indexing leads to an unlimited number of document subject headings thus creating serials multiple thematic profiles that represent an increasing number of interdisciplinary studies. The specific examples demonstrate the dynamic links formation between the publication and a certain set of thematic headings, which makes it possible to identify productive publications with different basic profiles for specific subject areas.A comparative study of 2016–2017 chemistry document arrays for VINITI RAS and Scopus journals selections was conducted. The Scopus journals analysis was carried out using the Scimagotools. In the Scopus database, the most representative thematic category is determined as "Chemistry, miscellaneous", which includes both polythematic and highly specialized publications. The maximum flow of Russian editionsarticles is noted in the field of physical chemistry with a significant number of productive journals with a basic physical profile.This model of deep thematic indexing allows the information center acquisitionsservice to monitor the content of various subject areas and ensure the completeness of the resulting documentsetsfor the information products.
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