Altmetric Indicators in Evaluating the Content of Repositories

The article seeks to examine the applicability of altmetric indicators for assessing the relevance of scientific content in open access repositories. The study of 40 Russian repositories of HEIs participating in the program “Priority 2030” and 40 foreign institutional repositories (IRs) from the list of the Ranking Web of Repositories has shown that information about altmetrics is unavailable or missing in a number of repositories. In foreign IRs, the demand indicators are twice as common as in national ones. Information about scientific significance in Russian repositories can only be acquired through internal counters stored by IRs or platforms that host full publication texts. However, as a rule, they include only internal information about views and downloads and do not take into account information from external sources. In foreign repositories, the sources of obtaining almetric indicators are: internal counters in IRs, websites of periodicals and other platforms on which the full texts of publications are available. Such platforms for domestic publications are the databases eLibrary, CyberLeninka; for foreign publications – Scopus Preview, IOPscience, Dimensions, Springer Nature Link, Figshare, etc. The most informative sources of information about the scientific significance of the content of foreign repositories are the built-in altmetric aggregators Altmetric and Plum Analytics, which, in addition to information about views and downloads, collect information about references to the results of scientific activities from blogs, social networks, news feeds, official documents and other sources. Therefore, altmetrics aggregators provide complete information about the demand for a particular item and help to evaluate and adjust a strategy for promoting scientific research in repositories.