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Scientific and Technical Information Processing

Erschienen in:

01.09.2023

Interdependence of Research Performance Indicators

verfasst von: P. A. Kalachikhin

Erschienen in: Scientific and Technical Information Processing | Ausgabe 3/2023

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Abstract—

Traditional and network indicators are compared for interchangeability and complementarity in evaluating the results of scientific activity. Examples of webometric indicators and ratings are considered. The strong and weak sides of altmetrics are characterized. Conclusions regarding the correlations between various indicators, drawing on the research materials of other authors, are summarized. A funnel model of webometric indicators is proposed, which can be used as a tool to increase the popularity of electronic publications.

Vorheriger Artikel Review of Existing Methods and Technologies for Detection and Mitigation of Misinformation and Distorted Data in Social Networks

Nächster Artikel Open Access Bibliographic Resources for Maintaining a Bibliographic Database of Research Organization

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Web 1.0, Web 2.0, and all subsequent generations of the Web will henceforth be referred to as network space.

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Titel: Interdependence of Research Performance Indicators
verfasst von: P. A. Kalachikhin
Publikationsdatum: 01.09.2023
Verlag: Pleiades Publishing
Erschienen in: Scientific and Technical Information Processing / Ausgabe 3/2023
Print ISSN: 0147-6882
Elektronische ISSN: 1934-8118
DOI: https://doi.org/10.3103/S0147688223030103

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