Bibliometrics, scientometrics and informetrics. Part 2. Object is a research paper published in Science Management: Theory And Practice (2021). On theSindex it has a DataRank of 0.530. It has been cited 6 times, with 5 citing works in its 1-hop citation network.
A simplified and sometimes vulgar understanding of the role of scientometrics in science management makes it necessary to better understand its essential characteristics. In this paper, scientometrics is considered in interrelations with bibliometrics and informetrics that are the fields of knowledge closest to it.In relation to bibliometrics, scientometrics and informetrics, this part discusses the representationof their object. Its reinterpretation using the modern broad meaning of the term “document” made us possible to come to the conclusion that there is (at least) the maximum convergence of interpretations of objects of bibliometrics, scientometrics and informetrics. In any case, such a comparative analysis of objects helps to identify both similarities and differences between these fields of knowledge, which is important, since their awareness is a very obvious initial condition for mutual conceptual enrichment (artificially diverged?) bibliometrics, scientometrics and informetrics with knowledge and concepts.Part 2 of the present paper provides examples of treating the objects of bibliometrics, scientometricsand informetrics using traditional interpretations of the concept of a “document”, followed by brief a review of the reinterpretation of this concept. However, consideration of the relationship of a “document” and “information” is much more detailed in the present work than it was performed in the author’s previous paper on this topic.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.292
From this paper's citation signal
Citation Network Contribution
0.238
From 4 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 55% comes from its base citations and 45% from the citation network (4 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
Click a node to highlight its connections. Use scroll to zoom. Drag to pan.