Citation advantage of COVID-19 related publications

With the global spread of the COVID-19 pandemic, scientists from various disciplines responded quickly to this historical public health emergency. The sudden boom of COVID-19 related papers in a short period of time may bring unexpected influence to some commonly used bibliometric indicators. By a large-scale investigation using Science Citation Index Expanded and Social Sciences Citation Index, this brief communication confirms the citation advantage of COVID-19 related papers empirically through the lens of Essential Science Indicators' highly cited paper. More than 8% of COVID-19 related papers published during 2020 and 2021 were selected as Essential Science Indicators highly cited papers, which was much higher than the set global benchmark value of 1%. The citation advantage of COVID-19 related papers for different Web of Science categories/countries/journal impact factor quartiles were also demonstrated. The distortions of COVID-19 related papers' citation advantage to some bibliometric indicators such as journal impact factor were discussed at the end of this brief communication.Comment: Journal of Information Science (2023

unarXive: a large scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata

In recent years, scholarly data sets have been used for various purposes, such as paper recommendation, citation recommendation, citation context analysis, and citation context-based document summarization. The evaluation of approaches to such tasks and their applicability in real-world scenarios heavily depend on the used data set. However, existing scholarly data sets are limited in several regards. Here, we propose a new data set based on all publications from all scientific disciplines available on arXiv.org. Apart from providing the papers' plain text, in-text citations were annotated via global identifiers. Furthermore, citing and cited publications were linked to the Microsoft Academic Graph, providing access to rich metadata. Our data set consists of over one million documents and 29.2 million citation contexts. The data set, which is made freely available for research purposes, not only can enhance the future evaluation of research paper-based and citation context-based approaches but also serve as a basis for new ways to analyze in-text citations. See https://github.com/IllDepence/unarXive for the source code which has been used for creating the data set. For citing our data set and for further information we can refer to our journal article Tarek Saier, Michael Färber: "unarXive: A Large Scholarly Data Set with Publications’ Full-Text, Annotated In-Text Citations, and Links to Metadata", Scientometrics, 2020, http://dx.doi.org/10.1007/s11192-020-03382-z

Habitus formation and perceived academic norms of Hungarian communication scholars

Communication education has a long history in most Western societies, but its development dates back only a few decades in Central and Eastern Europe. Taking Hungary as a case study, this paper investigates how young communication scholars perceive the quality of their education, the norms of their academic field and their future career prospects. Building on 15 semi-structured interviews, our study found that young Hungarian academics perceive severe contradictions within the field of communication studies and, most importantly, contradictions between international and regional habitus and norms. The perceived struggle between international and regional norms and habitus forms an ambivalent field in which family background, international mobility, financial circumstances and future career plans play a more crucial role in habitus formation than formal education