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Wang N, Kong JQ, Bai N, Zhang HY, Yin M. Psychological interventions for depression in children and adolescents: A bibliometric analysis. World J Psychiatry 2024; 14:467-483. [PMID: 38617982 PMCID: PMC11008384 DOI: 10.5498/wjp.v14.i3.467] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/20/2023] [Accepted: 02/02/2024] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND Depression has gradually become a common psychological disorder among children and adolescents. Depression in children and adolescents affects their physical and mental development. Psychotherapy is considered to be one of the main treatment options for depressed children and adolescents. However, our understanding of the global performance and progress of psychological interventions for depression in children and adolescents (PIDCA) research is limited. AIM To identify collaborative research networks in this field and explore the current research status and hotspots through bibliometrics. METHODS Articles and reviews related to PIDCA from January 2010 to April 2023 were identified from the Web of Science Core Collection database. The Charticulator website, CiteSpace and VOSviewer software were used to visualize the trends in publications and citations, the collaborative research networks (countries, institutions, and authors), and the current research status and hotspots. RESULTS Until April 16, 2023, 1482 publications were identified. The number of documents published each year and citations had increased rapidly in this field. The United States had the highest productivity in this field. The most prolific institution was the University of London. Pim Cuijpers was the most prolific author. In the context of research related to PIDCA, both reference co-citation analysis and keywords co-occurrence analysis identified 10 research hotspots, including third-wave cognitive behavior therapy, short-term psychoanalytic psychotherapy, cognitive behavioral analysis system of psychotherapy, family element in psychotherapy, modular treatment, mobile-health, emotion-regulation-based transdiagnostic intervention program, dementia risk in later life, predictors of the efficacy of psychological intervention, and risks of psychological intervention. CONCLUSION This bibliometric study provides a comprehensive overview of PIDCA from 2010 to present. Psychological intervention characterized as psychological-process-focused, short, family-involved, modular, internet-based, emotion-regulation-based, and personalized may benefit more young people.
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Affiliation(s)
- Nan Wang
- School of Nursing, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Jia-Qi Kong
- School of Nursing, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Nan Bai
- School of Nursing, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Hui-Yue Zhang
- School of Nursing, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Min Yin
- School of Nursing, Lanzhou University, Lanzhou 730000, Gansu Province, China
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A Novel Metric for Assessing National Strength in Scientific Research: Understanding China's Research Output in Quantum Technology through Collaboration. JOURNAL OF DATA AND INFORMATION SCIENCE 2022. [DOI: 10.2478/jdis-2022-0019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Purpose
The 5th Plenary Session of the 19th Communist Party of China (CPC) Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China's development. Based on this background, this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.
Design/methodology/approach
We propose a novel metric model for assessing national scientific research strength, which sets two indicators, national scientific self-reliance (SR) and national academic contribution (CT), to reflect “self-reliance” and “self-strengthening” respectively. Taking the research papers in quantum technology as an example, this study analyzes the scientific research strength of various countries around the world, especially China in quantum technology.
Findings
The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks. China's academic contribution (CT) to global quantum technology research is increasing and has been greater than that of the United States in 2020. Combining the two indicators, CT and SR, China's research strength in the quantum field closely follows the United States, and the United States is the most powerful with high research autonomy.
Research limitations
This paper only reflects China's scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects, which need further study.
Practical implications
The model is helpful to better understand the national scientific research strength in a certain field from “self-reliance” and “self-strengthening”.
Originality/value
We propose a novel metric model to measure the national scientific research strength from the perspective of “self-reliance” and “self-strengthening”, which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.
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Zhang T, Tan F, Yu C, Wu J, Xu J. Understanding relationship between topic selection and academic performance of scientific teams based on entity popularity trend. ASLIB J INFORM MANAG 2022. [DOI: 10.1108/ajim-03-2022-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeProper topic selection is an essential prerequisite for the success of research. To study this, this article proposes an important concerned factor of topic selection-topic popularity, to examine the relationship between topic selection and team performance.Design/methodology/approachThe authors adopt extracted entities on the type of gene/protein, which are used as proxies as topics, to keep track of the development of topic popularity. The decision tree model is used to classify the ascending phase and descending phase of entity popularity based on the temporal trend of entity occurrence frequency. Through comparing various dimensions of team performance – academic performance, research funding, relationship between performance and funding and corresponding author's influence at different phases of topic popularity – the relationship between the selected phase of topic popularity and academic performance of research teams can be explored.FindingsFirst, topic popularity can impact team performance in the academic productivity and their research work's academic influence. Second, topic popularity can affect the quantity and amount of research funding received by teams. Third, topic popularity can impact the promotion effect of funding on team performance. Fourth, topic popularity can impact the influence of the corresponding author on team performance.Originality/valueThis is a new attempt to conduct team-oriented analysis on the relationship between topic selection and academic performance. Through understanding relationships amongst topic popularity, team performance and research funding, the study would be valuable for researchers and policy makers to conduct reasonable decision making on topic selection.
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Research on Digital Transformation Based on Complex Systems: Visualization of Knowledge Maps and Construction of a Theoretical Framework. SUSTAINABILITY 2022. [DOI: 10.3390/su14052683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In the digital age, the exploration of digital transformation has made remarkable progress in many fields. However, the existing theories related to digital transformation at the organizational level are relatively scattered, which makes it difficult to support the practical exploration of organizational change in the digital context. Through quantitative and visual analysis of the literature in the field of digital transformation, this study analyzes the research situation in this field from the aspects of the paper publishing trend, node literature, key scholars and regional cooperation. Through the analysis of the keywords co-occurrence network, the research frontier of digital transformation is identified, and, based on complex systems, this study discusses the research frontier from three aspects: organizational symbiosis oriented by environmental coordination, ability remodeling oriented by structural optimization and value creation oriented by functional realization. Further, based on the analysis framework and principle of organizational management systematics, this study constructs the theoretical framework of digital transformation from three aspects: core dimension, implementation mechanism and action mechanism. The systematic theoretical framework can provide reference for the development of relevant theories of digital transformation and better support the management practice of digital transformation.
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Qi S, Hua F, Xu S, Zhou Z, Liu F. Trends of global health literacy research (1995-2020): Analysis of mapping knowledge domains based on citation data mining. PLoS One 2021; 16:e0254988. [PMID: 34370749 PMCID: PMC8351965 DOI: 10.1371/journal.pone.0254988] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 07/07/2021] [Indexed: 12/14/2022] Open
Abstract
Background During uncertainties associated with the COVID-19 pandemic, effectively improving people’s health literacy is more important than ever. Drawing knowledge maps of health literacy research through data mining and visualized measurement technology helps systematically present the research status and development trends in global academic circles. Methods This paper uses CiteSpace to carry out a metric analysis of 9,492 health literacy papers included in Web of Science through mapping knowledge domains. First, based on the production theory of scientific knowledge and the data mining of citations, the main bodies (country, institution and author) that produce health literacy knowledge as well as their mutual cooperation (collaboration network) are both clarified. Additionally, based on the quantitative framework of cocitation analysis, this paper introduces the interdisciplinary features, development trends and hot topics of the field. Finally, by using burst detection technology in the literature, it further reveals the research frontiers of health literacy. Results The results of the BC measures of the global health literacy research collaboration network show that the United States, Australia and the United Kingdom are the major forces in the current international collaboration network on health literacy. There are still relatively very few transnational collaborations between Eastern and Western research institutions. Collaborations in public environmental occupational health, health care science services, nursing and health policy services have been active in the past five years. Research topics in health literacy research evolve over time, mental health has been the most active research field in recent years. Conclusions A systematic approach is needed to address the challenges of health literacy, and the network framework of cooperation on health literacy at regional, national and global levels should be strengthened to further promote the application of health literacy research. In the future, we anticipate that this research field will expand in two directions, namely, mental health literacy and eHealth literacy, both of which are closely linked to social development and issues. The results of this study provide references for future applied research in health literacy.
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Affiliation(s)
- Shaojie Qi
- Research Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, China
| | - Fengrui Hua
- Research Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, China
| | - Shengyuan Xu
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Zheng Zhou
- Research Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, China
| | - Feng Liu
- School of Foreign Language, Huaiyin Normal University, Huai’an, China
- * E-mail:
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Chen S, Qiu J, Arsenault C, Larivière V. Exploring the interdisciplinarity patterns of highly cited papers. J Informetr 2021. [DOI: 10.1016/j.joi.2020.101124] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Bittermann A, Batzdorfer V, Müller SM, Steinmetz H. Mining Twitter to Detect Hotspots in Psychology. ZEITSCHRIFT FUR PSYCHOLOGIE-JOURNAL OF PSYCHOLOGY 2021. [DOI: 10.1027/2151-2604/a000437] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. For identifying psychological hotspot topics, a mere focus on bibliometric data suffers from a publication delay. To overcome this issue, we introduce Twitter mining of ongoing online communication among scientists for the detection of psychological research topics. Specifically, we collected the entire 69,963 tweets posted between August 2007 and July 2020 from 139 accounts of psychology professors, departments, and research institutes from the German-speaking countries, as well as sections of the German Psychological Society (DGPs). To examine whether Twitter topics are hotspots in terms of indicating future publication trends, 346,361 references in the PSYNDEX database were extracted. For determining the additional value of our approach in contrast to traditional conference analysis, we gathered all available conference programs of the DGPs and its sections since 2010 and compared dates of topic emergence. Results revealed 21 topics addressing societal issues (e.g., COVID-19), methodology (e.g., machine learning), scientific research (e.g., replication crisis), and different areas of psychological research. Ten topics indicated an increasing publication trend, particularly topics related to methodology or scientific transparency. Seven Twitter topics emerged earlier on Twitter than at conferences. A total of four topics could be expected neither by bibliometric forecasting nor conference contents: “methodological issues in meta-analyses”, “playfulness”, “preregistration”, and “mobile brain/body imaging”. Taken together, Twitter mining is a worthwhile endeavor for identifying psychological hotspot topics, especially regarding societal issues, novel research methods, and research transparency in psychology. In order to get the most comprehensive picture of research hotspots, Twitter mining is recommended in addition to bibliometric analyses of publication trends and monitoring of conference topics.
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Abstract
Abstract
Studying research fronts enables researchers to understand how their academic fields emerged, how they are currently developing and their changes over time. While topic modelling tools help discover themes in documents, they employ a “bag-of-words” approach and require researchers to manually label categories, specify the number of topics a priori, and make assumptions about word distributions in documents. This paper proposes an alternative approach based on entity linking, which links word strings to entities from a knowledge base, to help solve issues associated with “bag-of-words” approaches by automatically identifying topics based on entity mentions. To study topic trends and popularity, we use four indicators—Mann–Kendall’s test, Sen’s slope analysis, z-score values and Kleinberg’s burst detection algorithm. The combination of these indicators helps us understand which topics are particularly active (“hot” topics), which are decreasing (“cold” topics or past “bursty” topics) and which are maturely developed. We apply the approach and indicators to the fields of Information Science and Accounting.
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Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures. Scientometrics 2018. [DOI: 10.1007/s11192-018-2834-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Yeh HY, Lo CW, Chang KS, Chen SH. Using hot patents to explore technological evolution: a case from the orthopaedic field. ELECTRONIC LIBRARY 2018. [DOI: 10.1108/el-02-2017-0042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
This study aims to propose a visualized model of hot technology evolution to describe its development.
Design/methodology/approach
The basic concept is to divide a technological field into a timeline consisting of several patent clusters. Hot technology trajectories are then explored using their continuity, as well as the point in time at which they occur.
Findings
Patents in orthopaedics between 1999 and 2014 have been chosen as the research subjects and the field is divided into several hot technology trajectories. A further step is taken by interpreting high-frequency key terms. Three categories – spine-related materials, bone repairing materials and bone plates – have been identified.
Practical implications
The trajectories presented by evolving diagrams allow readers to understand the evolution of hot technology and help analysts to plan layout and strategies to remain competitive.
Originality/value
Patent clusters reflect the knowledge context of technology development. Previous studies have focused on only new technology evolution and have rarely explored the knowledge context of hot patents that have been frequently cited in recent years. Such patents often guide the development of technology.
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14
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Application of bibliometrics in analysis of output differences among countries under International Ocean Discovery Program. Scientometrics 2016. [DOI: 10.1007/s11192-016-2052-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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15
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Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics. J Informetr 2015. [DOI: 10.1016/j.joi.2015.09.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Abstract
Purpose
– The purpose of this paper is to analyse the global scientific outputs of ontology research, an important emerging discipline that has huge potential to improve information understanding, organization, and management.
Design/methodology/approach
– This study collected literature published during 1900-2012 from the Web of Science database. The bibliometric analysis was performed from authorial, institutional, national, spatiotemporal, and topical aspects. Basic statistical analysis, visualization of geographic distribution, co-word analysis, and a new index were applied to the selected data.
Findings
– Characteristics of publication outputs suggested that ontology research has entered into the soaring stage, along with increased participation and collaboration. The authors identified the leading authors, institutions, nations, and articles in ontology research. Authors were more from North America, Europe, and East Asia. The USA took the lead, while China grew fastest. Four major categories of frequently used keywords were identified: applications in Semantic Web, applications in bioinformatics, philosophy theories, and common supporting technology. Semantic Web research played a core role, and gene ontology study was well-developed. The study focus of ontology has shifted from philosophy to information science.
Originality/value
– This is the first study to quantify global research patterns and trends in ontology, which might provide a potential guide for the future research. The new index provides an alternative way to evaluate the multidisciplinary influence of researchers.
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Jarić I, Knežević-Jarić J, Lenhardt M. Relative age of references as a tool to identify emerging research fields with an application to the field of ecology and environmental sciences. Scientometrics 2014. [DOI: 10.1007/s11192-014-1268-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Cobo M, López-Herrera A, Herrera-Viedma E, Herrera F. SciMAT: A new science mapping analysis software tool. ACTA ACUST UNITED AC 2012. [DOI: 10.1002/asi.22688] [Citation(s) in RCA: 429] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- M.J. Cobo
- Department of Computer Science and Artificial Intelligence; CITIC-UGR (Research Center on Information and Communications Technology); University of Granada; E-18071; Granada; Spain
| | - A.G. López-Herrera
- Department of Computer Science and Artificial Intelligence; CITIC-UGR (Research Center on Information and Communications Technology); University of Granada; E-18071; Granada; Spain
| | - E. Herrera-Viedma
- Department of Computer Science and Artificial Intelligence; CITIC-UGR (Research Center on Information and Communications Technology); University of Granada; E-18071; Granada; Spain
| | - F. Herrera
- Department of Computer Science and Artificial Intelligence; CITIC-UGR (Research Center on Information and Communications Technology); University of Granada; E-18071; Granada; Spain
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Liu Y, Rousseau R. Towards a representation of diffusion and interaction of scientific ideas: The case of fiber optics communication. Inf Process Manag 2012. [DOI: 10.1016/j.ipm.2011.12.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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20
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Mukherjee B. Evaluation of Indian Research Performance in the Emerging Fields of Environmental Sciences. COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 2011. [DOI: 10.1080/09737766.2011.10700904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Cobo M, López-Herrera A, Herrera-Viedma E, Herrera F. Science mapping software tools: Review, analysis, and cooperative study among tools. ACTA ACUST UNITED AC 2011. [DOI: 10.1002/asi.21525] [Citation(s) in RCA: 983] [Impact Index Per Article: 70.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Chen K, Guan J. A bibliometric investigation of research performance in emerging nanobiopharmaceuticals. J Informetr 2011. [DOI: 10.1016/j.joi.2010.10.007] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Small H. Interpreting maps of science using citation context sentiments: a preliminary investigation. Scientometrics 2011. [DOI: 10.1007/s11192-011-0349-2] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Cobo M, López-Herrera A, Herrera-Viedma E, Herrera F. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. J Informetr 2011. [DOI: 10.1016/j.joi.2010.10.002] [Citation(s) in RCA: 727] [Impact Index Per Article: 51.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Hsieh C. Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing. Scientometrics 2010; 86:381-404. [PMID: 21297855 PMCID: PMC3016228 DOI: 10.1007/s11192-010-0290-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2010] [Indexed: 11/06/2022]
Abstract
Inventions combine technological features. When features are barely related, burdensomely broad knowledge is required to identify the situations that they share. When features are overly related, burdensomely broad knowledge is required to identify the situations that distinguish them. Thus, according to my first hypothesis, when features are moderately related, the costs of connecting and costs of synthesizing are cumulatively minimized, and the most useful inventions emerge. I also hypothesize that continued experimentation with a specific set of features is likely to lead to the discovery of decreasingly useful inventions; the earlier-identified connections reflect the more common consumer situations. Covering data from all industries, the empirical analysis provides broad support for the first hypothesis. Regressions to test the second hypothesis are inconclusive when examining industry types individually. Yet, this study represents an exploratory investigation, and future research should test refined hypotheses with more sophisticated data, such as that found in literature-based discovery research.
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Affiliation(s)
- Chihmao Hsieh
- Amsterdam School of Economics, University of Amsterdam, E2.39, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands
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Buter RK, Noyons ECM, Van Raan AFJ. Searching for converging research using field to field citations. Scientometrics 2010; 86:325-338. [PMID: 21297857 PMCID: PMC3016233 DOI: 10.1007/s11192-010-0246-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2010] [Indexed: 11/03/2022]
Abstract
We define converging research as the emergence of an interdisciplinary research area from fields that did not show interdisciplinary connections before. This paper presents a process to search for converging research using journal subject categories as a proxy for fields and citations to measure interdisciplinary connections, as well as an application of this search. The search consists of two phases: a quantitative phase in which pairs of citing and cited fields are located that show a significant change in number of citations, followed by a qualitative phase in which thematic focus is sought in publications associated with located pairs. Applying this search on publications from the Web of Science published between 1995 and 2005, 38 candidate converging pairs were located, 27 of which showed thematic focus, and 20 also showed a similar focus in the other, reciprocal pair.
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Affiliation(s)
- Reindert K Buter
- Centre for Science and Technology Studies (CWTS), Leiden University, Wassenaarseweg 62a, P.O. Box 905, 2300 AX Leiden, The Netherlands
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Small H. Maps of science as interdisciplinary discourse: co-citation contexts and the role of analogy. Scientometrics 2009. [DOI: 10.1007/s11192-009-0121-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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