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PurposeAging research has traditionally been an important research topic in the field of Library and Information Science(LIS). The study of aging enables us to grasp the extent of development and the status of aging in LIS. The purpose of this paper is to explore the current law of aging in LIS and to research the impact of interdisciplinary citations on the aging of the discipline.Design/methodology/approachBy using citation analysis methods and fitting them using the Barnett aging model, the aging law of LIS is explored with the help of aging indicators such as citing half-life and Price Index. For interdisciplinary study, the authors explore the pattern of interdisciplinary citations distribution by distinguishing LIS and non-LIS citations by journal name.FindingsThe results show that LIS is currently aging slowly and has reached a relatively mature stage. It has a high reliance on archival literature. The interdisciplinary citations distribution is broadly consistent with the overall citation distribution, and interdisciplinary citations can increase the age of applicability of the literature.Originality/valueBased on LIS journal citation data, the paper validates the rationality of Barnett model applied in the field of literature aging research using nonlinear regression analysis, which can effectively reflect the aging law of literature and enable scholars to predict its development trend more accurately. In addition, according to the current trend of interdisciplinary citation, this paper explores the impact of interdisciplinary citations on the aging of the literature and provides a new idea for future aging research.

PurposeThe conditions that domain analysis becomes an academic school of information science (IS) are mature. Domain analysis is one of the most important foundations of IS. The purpose of this paper is to analyze and discuss metatheoretical and theoretical issues in the domain analytic paradigm in IS.Design/methodology/approachThis paper conducts a systematic review of representative publications of domain analysis. The analysis considered degree theses, journal articles, book chapters, conference papers and other materials.FindingsDomain analysis maintains that community is the new focus of IS research. Although domain analysis centers on the domain and community, theoretical concerns on the social and individual dimensions of IS are inherent in it by its using sociology as its important approach and socio-cognitive viewpoint. For these reasons domain analysis can integrate social–community–individual levels of IS discipline as a whole. The role of subject knowledge in IS is discussed from the perspective of domain analysis. Realistic pragmatism that forms the philosophical foundation of domain analysis is argued and the implications of these theories to IS are presented.Originality/valueThe intellectual evolving landscape of domain analysis during a quarter century is comprehensively reviewed. Over the past twenty-five years, domain analysis has established its academic status in the international IS circle. Being an important metatheory, paradigm and methodology, domain analysis becomes the theoretical foundation of IS research. This paper assesses the current state of domain analysis and shows the contributions of domain analysis to IS. It also aims to inspire further exploration.

PurposeThis study explores whether interdisciplinary components' citation intensity (ICCI) affects papers' scientific impact. In this study, the term “interdisciplinary components” refers to the disciplines that are different from the discipline to which the target research belongs. The citation intensity is the degree of density or sparseness of the paper citation network for a discipline. Previous studies have shown that the scientific impact of interdisciplinary research is influenced by interdisciplinarity and its properties, namely, variety, balance and disparity. However, the effect of ICCI on scientific impact has not been comprehensively explored.Design/methodology/approachThis study is based on the entire publication database of the Web of Science for the year 2000, where the authors provide an indicator to measure the ICCI of each publication. A tobit regression model is used to examine the effect of ICCI on scientific impact, controlling for a range of variables associated with the characteristics of the publications studied.FindingsThe results show that ICCI has a positive effect on scientific impact. The authors’ results further point out that ICCI displays a curvilinear inverted U-shape relationship with scientific impact. It means that including more citation-intensive interdisciplinary components can increase the scientific impact of interdisciplinary research. However, excessive use of citation-intensive interdisciplinary components may reduce the scientific impact of interdisciplinary research.Originality/valueThis study shows that, in addition to interdisciplinarity, the scientific impact of interdisciplinary research is also affected by the citation characteristics of interdisciplinary components, namely ICCI.

Introduction TRAIL (tumor necrosis factor-related apoptosis-inducing ligand) can induce apoptosis in a variety of cancer cells. However, drug resistance of tumor and short half-life seriously affects its clinical targeted therapy. Cabazitaxel (CTX) is a taxane drug, which can induce apoptosis or autophagy by inhibiting the phosphorylation of PI3K/Akt/mTOR and sensitive to some drug-resistant tumors. Therefore, we explored the possibility of developing a mesenchymal stem cell-derived exosomes (MSC-EXO) vector for oral squamous cell carcinoma (OSCC) to deliver CTX/TRAIL combinations. Methods After ultracentrifugation and dialysis, CTX/TRAIL loaded exosomes transfected MSC (MSCT)-derived exosome (EXO) (MSCT-EXO/CTX) were isolated and purified. The expression of CD63, CD9 and TRAIL was detected by BCA to confirm the origin of EXO. High-performance liquid chromatography (HPLC) was used to determine the drug loading of VPF and draw the in vitro release profile. MTT assay, flow cytometry and Western blot were used to detect the antitumor effect of MSCT-EXO/CTX in vitro. Subsequently, the antitumor effect of MSCT-EXO/CTX in vivo was verified by mouse model. Results The diameter of the membrane particles was about 60-150 nm. We have proved that the incorporation and release of CTX in MSCT-EXO can inhibit the activation of PI3K, Akt and mTOR, which is a possible synergistic mechanism of CTX. MSCT-EXO and CTX can induce the apoptosis of SCC25 tumor cells in a dose-dependent manner and exert a good synergistic effect in the proportion range of 10:1-5:1. The inherent activity of MSCT-EXO and the direct effect of MSCT-EXO/CTX on OSCC confirm that MSCT-EXO/CTX makes MSCT-EXO and CTX have an efficient synergistic effect and a highly effective pharmacological inhibition on cancer cells, as verified by the subsequent mouse model. MSCT-EXO/CTX showed the lowest relative tumor volume and the highest tumor inhibition rate (P Conclusion An MSCT-EXO-based CTX delivery system might be an effective anticancer method.

Disciplinary classification of science is essential to bibliometric analyses. Given the conceptual and technical difficulties in classifying individual papers into disciplines and specialties, most classifications systems are implemented at the journal level, which affects the classification of papers published in multidisciplinary journals. In order to investigate the effect of the different classification systems on bibliometric evaluations, this study compares the rankings of the most productive institutions and most productive authors using the two types of classifications. Results show that the classification of papers has less influence on rankings at the institutional level than at the individual level. Implications for bibliometric evaluations are discussed.

Tenure provides a permanent position to faculty in higher education institutions. In North America, it is granted to those who have established a record of excellence in research, teaching and services in a limited period. However, in China, research excellence (represented by the number of Web of Science publications) is highly weighted in the tenure assessment compared to excellence in teaching and services, but this has never been systematically investigated. By analyzing the tenure assessment documents from Chinese Universities, this study reveals the role of Web of Science publications in China’s tenure system and presents the landscape of the tenure assessment process in Chinese higher education institutions.

Introduction In online shopping, the webpage layout plays an important part in the consumer's experience. The present study aims to investigate whether the webpage order and which order level (high order vs low order) facilitate consumers' instant purchase decisions for products. Methods Fourteen right-handed healthy undergraduates and graduate students participated in the experiment as paid participants. In the experiment, participants were presented with daily products in different online shopping webpages (high-order vs low-order) and reported their purchase intentions between purchase and not purchase. Meanwhile, Electroencephalogram (EEG) was recorded from the participants throughout the experiment. In the analysis process, two event-related potentials (ERP) components, P2 and late positive potential (LPP) were mainly focused to examine the cognitive mechanism underlying the purchase decisions. Results The behavioral data found that the low-order shopping webpage facilitated participants' purchase intentions compared with the high-order one. Neurophysiologically, increased P2 amplitudes and increased LPP amplitudes were revealed for the low-order webpage compared to the high-order webpage. The P2 indicates the early stage of attention engagement and discordant perception, while the LPP can be taken as a reflection of the late stage of the emotional self-control process. Conclusion These results provided evidence that webpage order influenced people's purchase decisions. Low-order webpage design invoked more attention engagement and discordant perception and consumed more self-control resources than the high-order webpage design, which contributed to the higher purchase intentions.

The COVID-19 pandemic outbreak in December 2019 has spread globally. The ongoing psychological and behavioral effects of the COVID-19 pandemic, which poses a major challenge to humanity, are of concern to researchers. To understand the academic community’s attention, focus and research collaboration on psychological and behavioral research during the COVID-19 pandemic, we conducted a macro analysis using a bibliometric approach. Using the topic selection strategy of TS = (“COVID-19” OR “coronavirus disease 2019” OR “SARS-CoV-2” OR “2019-nCoV”) AND TS = (“behavio*”) AND TS = (“psycholog*”), 2096 high-quality research articles and reviews were downloaded as data from the Web of Science core collection on 16 November 2021. Through analysis and visualization, the following conclusions are drawn in this study: (1) The popularity and importance of psychological and behavioral research under COVID-19 has increased significantly and needs further attention; (2). Related research focuses on eight hotspots, with quarantine, health care workers, the elderly, students, pregnant women, family, consumers, social media and emergency preparedness knowledge as the focus of the research object; and (3) Research collaboration is relatively high at the author, organizational and national levels. However, low-income countries need to get more attention. Furthermore, this article would help researchers make decisions for the research of psychological and behavioral issues under COVID-19 and planning for future prospects to contribute to academic development and applied methodology.

Scientific research into isotope hydrograph separation (IHS) has rapidly increased in recent years. However, there is a lack of systematic and quantitative research to explore how this field has evolved over time. In this study, the methods of text mining and bibliometric analysis were combined to address this shortcoming. The results showed that there were clear periodical characteristics in IHS studies between 1986 and 2019. High-frequency words, e.g., catchment, stable isotope, runoff, groundwater, precipitation, runoff generation, and soil, were the basic topics in IHS studies. Forest and glacier/snow were the main landscapes in this research field. ‘Variation’, ‘spatial’, and ‘uncertainty’ are hot issues for future research. Today, studies involving the geographical source, flow path, and transit/residence time of streamflow components have enhanced our understanding of the hydrological processes by using hydrometeorological measurements, water chemistry, and stable isotope approaches. In the future, new methods, such as path analysis and ensemble hydrograph separation, should be verified and used in more regions, especially in remote and mountainous areas. Additionally, the understanding of the role of surface water in streamflow components remains limited and should be deeply studied in the future.

With the popularity of educational evaluation studies, researchers have begun to mine text data to provide helpful information for educational stakeholders. Despite the frequent adoption of textual analysis, few studies have been found to search and analyze data from research projects. As the highest-level and most authoritative research projects in China, the Chinese National Education Science Planning projects could fully reflect the research fronts and hotspots in the field. This study examines the educational evaluation projects in the Chinese National Education Science Planning from 2011 to 2020, adopting bibliometric, textual analysis, and visualization methods to present an overview of the educational evaluation research in China. The results have revealed a steady growth of projects on educational evaluation in China as there were 219 projects approved during the 13th Five-Year Plan period, 68 more than that of the 12th Five-Year Plan period, and accounted for 9.00% of the total number of projects launched in the same period. The educational evaluation project organizations are diversified, including universities, scientific research institutions, primary and secondary schools, administrative departments, educational societies, and publishing units. The research trends focus on the close integration of educational evaluation with informatization, needs in educational practice, and national strategic development. This study offers an applicable methodology and framework for the future bibliometric study of educational evaluation.

The widespread use of social media has a trans-formative effect on people’s work and lives. With the increasing information explosion and more cases of social media addiction, users have been always worried that they have missed some information. FoMO (Fear of Missing Out) of mobile users emerges. FoMO has affected users’ interpersonal relationship and behavior in the offline environment, especially for post-90s generation users (people born in the 1990’s). This paper explores the impact of FoMO of post-90s generation mobile users on romantic relationship in the context of social media. The sample size is 274 subjects. By using questionnaire survey and regression analysis, the impacts of FoMO on romantic relationship were analyzed from the perspectives of three dimensions of FoMO: cognitive, emotional and behavioral manifestations. Results show that behavioral manifestation of FoMO has a significant negative effect on romantic relationships, while emotional and cognitive manifestations of FoMO have no significant effects on romantic relationships. This paper enriches the research on the effects of psychology and information behavior of mobile social media users on their interpersonal relationship.

Objective: This study compares two maps of biomedical sciences using Medical Subject Headings (MeSH) term co-assignments versus MeSH terms of citing/cited articles and reveals similarities and differences between the two approaches. Methods: MeSH terms assigned to 397,475 journal articles published in 2015, as well as their 4,632,992 cited references, were retrieved from Web of Science and MEDLINE databases, respectively, which formed over 7 million MeSH co-assignments and nearly 18 million direct citation pairs. We generated six network visualizations of biomedical science at three levels using Gephi software based on these MeSH co-assignments and citation pairs.Results: The MeSH co-assignment map contained more nodes and edges, as MeSH co-assignments cover all medical topics discussed in articles. By contrast, the MeSH citation map contained fewer but larger nodes and wider edges, as citation links indicate connections to two similar medical topics. Conclusion: These two types of maps emphasize different aspects of biomedical sciences, with MeSH co-assignment maps focusing on the relationship between topics in different categories and MeSH direct citation maps providing insights into relationships between topics in the same or similar category.

The analysis of collaborative contribution networks and hot spots in earthquake research from a global perspective will reveal some rules and trends in this field that will provide references and macroguidance for scientific researchers in the field. With the help of data analysis software Excel and visualization software VOSviewer, this study mainly uses two methods of bibliometric and social network analysis to analyze 66,296 papers on the subject of “earthquake” collecting in Web of Science in 2009–2018 from multiple perspectives. In the past 10 years, scientific research output in the earthquake field has steadily increased year by year with an evident cross subject. The contribution of co-publishing is much higher than that of single publishing, and it has a higher number of citations and displays. Half of the 50 keywords with the highest frequency of co-occurrence are the continuation of hot spots in 1900–2010. The evolution of hot spots shows that in the average publishing year of 2013.5–2015.0, hot spots have changed from old to new, but few new hot spots have appeared in the past 2 years.

Purpose Library science and information science, two subdisciplines of library and information science (LIS), are developed independently but interconnectedly. In this information age, LIS is in a special period of transformation and development, which has caused some changes in both library science and information science. By accurately capturing these changes and analyzing them, the authors can effectively map the development of LIS in the new century, thus providing a reference for the evolution and development of the field. The purposes of this paper are to explore the mainstream research fields and frontiers of library science and information science, respectively, since the new century, and to make a comparative analysis of the two subdisciplines. Design/methodology/approach By using CiteSpace to visualize LIS journals, this study draws knowledge maps of the two subdisciplines of LIS through the co-occurrence descriptors network. Using burst detection algorithm, this study detects words of high frequency variation by investigating the time frequency distribution. Findings The results show that the research focus of library science has experienced a change from traditional to digital library while information science has moved from information to data focus. This study also finds the similarities and differences between mainstream areas of library science and information science. Originality/value This study focuses on the evolution of library science and information science, and explores their mainstream research fields and frontiers in the 21st century. These findings will promote the transformation and development of LIS as well as provide research directions for scholars in the field.

The classification of science into disciplines is at the heart of bibliometric analyses. While most classifications systems are implemented at the journal level, their accuracy has been questioned, and paper-level classifications have been considered by many to be more precise. However, few studies investigated the difference between journal and the paper classification systems. This study addresses this gap by comparing the journal- and paper-level classifications for the same set of papers and journals. This isolates the effects of classification precision (i.e., journal- or paper-level) to reveal the extent of paper misclassification. Results show almost half of papers could be misclassified in journal classification systems. Given their importance in the construction and analysis of bibliometric indicators, more attention should be given to the robustness and accuracy of these disciplinary classifications schemes.

This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster–Cobbold Diversity Index (LCDiv)) of all papers published in 2000 and indexed in Clarivate Analytics’ Web of Science. These papers are categorized into six percentile rank classes according to their citation rates, and the interdisciplinarity among these percentile rank classes is compared. Our results demonstrate that, whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but they also exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. From the perspective of effect size, our results suggest that the effect of variety on citation impact is most significant, followed by disparity and then balance. These results indicate that variety is likely the most important interdisciplinary factor for citation impact.

Herdan-Heaps law and Lotka’s law are two important laws in linguistics and many other fields, which are often found to coexist in many languages. Herdan-Heaps law describes the type-token relation between number of distinct words and text length. Lotka’s law concerns the fraction of words with a given number of word occurrences. Utilising a variant of the Simon model, this work demonstrates that if the growth rate of different words follow Herdan-Heaps law, with an exponent in the interval (0,1), then the exponents of Lotka’s law and Herdan-Heaps law are identical. A biparameter power law distribution, i.e. the Waring distribution, is derived within the framework of Simon’s model. Estimators of the Waring distribution parameters are determined and numerical illustrations are provided.

Online shopping festivals play a significant role in consumers' purchase decision and have been the focus of much research and many marketing practices. However, research has yet to explore which product categories can promote consumer purchase intention during online shopping festivals. This study carried out a neurophysiological experiment with event-related potentials (ERPs) to investigate the mechanism of participants' purchase intention for two classic product categories (utilitarian products (UP) and hedonic products (HP)) during online shopping festivals. The behavioral findings demonstrated that compared to HP, participants had a purchase intention bias towards UP. Neurocognitively, this purchase intention bias was reflected by a larger N2 component and a smaller LPC component for UP than for HP. N2 reflected attentional capture in the early cognitive stage, and LPC reflected the later stage of negative emotional perception. These findings provide a preliminary exploration of the mechanism of people's purchase decision of UP and HP during online shopping festivals, positively contributing marketing practices and future research.

In informetrics, the flow of information in a document is typically called literature information flow. Literature is the most basal carrier of intelligence. Document information flow is a collection of scientific literature with the characteristics of a series of themes. Literature information flow is sometimes called literature flow, for short.

It is objective law of scientific development that scientific knowledge updated, new knowledge produced, the old knowledge replaced along with the progress of science and technology constantly.

The distribution of document information citation exhibits certain regularity, which is an important part of information theory of measurement.

The basic laws of infometrics are Bradford’s law, Zipf’s law, and Lotka’s law. Lotka’s law explains scientific productivity and the relationship between authors and the quantities of their papers.

Science and technology management is a new research subject regarding the basic principles and methods of modern science and technology management.

Informetrics has a wide application domain. The application domain mainly involves two aspects. First, informetrics can be applied to library and information science.