scholarly journals Alice in Wonderland syndrome (AIWS): A research overview

Author(s):  
Md Mahbub Hossain

Background: Alice in Wonderland syndrome (AIWS) is a rare neuropsychiatric condition characterized by distorted visual perceptions, body schema, and experience of time. This bibliometric study aimed to analyze the characteristics of the global research landscape on AIWS. Methods: Bibliometric data on AIWS related publications published until 2019 were retrieved from the Web of Science database. The data were analyzed using statistical and scientometric tools to evaluate the publication trends, key research domains, top contributing journals, institutions, and countries associated with AIWS-related research. Results: A total of 125 published items were analyzed with a mean of 3 authors and 8.15 citations per document. Most articles were published after 2008, in medical journals focused on neuropsychiatric sciences, and most institutions affiliated with AIWS research were based on high-income countries. Major research domains associated with AIWS included visual disturbances, body image, migraine, infections, risk factors, and other clinical correlates. Conclusion: The current research landscape informs a developing trend in AIWS research in selected regions and specialties. Future research should emphasize multidisciplinary and translational investigations through global collaborations to advance the knowledge and practice on AIWS.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ilan Alon ◽  
Indri Dwi Apriliyanti ◽  
Massiel Carolina Henríquez Parodi

Purpose This paper aims to provide a bibliometric meta-analysis of the already substantial and growing literature on international franchising. Franchising is a model for businesses to achieve scale with limited resources. International franchising is a mode of entry that allows firms to develop new markets with relatively little risk but also little control. Design/methodology/approach Using a systematic approach, the paper identifies all articles in the ISI Web of Science from 1970 to 2018 that includes the term international franchising (in the title, the abstract or keywords) and finds 131 articles. This paper used HistCite software to analyze the bibliometric data. Findings Four major research clusters in the international franchising literature are identified. In addition, this study shows a change in research patterns regarding topics, theories and methodologies from the 1970s through 2018. The paper presents the most influential articles, authors and journals. Originality/value From the analyzes, this study develops a conceptual framework of international franchising and suggest avenues for future research.


2020 ◽  
Author(s):  
Kashin Sugishita ◽  
Yasuo Asakura

Abstract In recent years, studies on network vulnerability have grown rapidly in the fields of transportation and complex networks. Even though these two fields are closely related, their overall structure is still unclear. In this study, to add clarity comprehensively and objectively, we analyze a citation network consisting of vulnerability studies in these two fields. We collect publication records from an online publication database, the Web of Science, and construct a citation network where nodes and edges represent publications and citation relations, respectively. We analyze the giant weakly connected component consisting of 705 nodes and 4,584 edges. First, we uncover main research domains by detecting communities in the network. Second, we identify major research development over time in the detected communities by applying main path analysis. Third, we quantitatively reveal asymmetric citation patterns between the two fields, which implies that mutual understanding between them is still lacking. Since these two fields deal with the vulnerability of network systems in common, more active interdisciplinary studies should have a great potential to advance both fields in the future.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yang Li ◽  
Biaoan Shan ◽  
Beiwei Li ◽  
Xiaoju Liu ◽  
Yi Pu

The emergence of machine learning (ML) and blockchain (BC) technology has greatly enriched the functions and services of healthcare, giving birth to the new field of “smart healthcare.” This study aims to review the application of ML and BC technology in the smart medical industry by Web of Science (WOS) using bibliometric visualization. Through our research, we identify the countries with the greatest output, the major research subjects, funding funds, and the research hotspots in this field. We also find out the key themes and future research areas in application of ML and BC technology in healthcare area. We reveal the different aspects of research under the two technologies and how they relate to each other around five themes.


Author(s):  
Muhammad Yousaf ◽  
Petr Bris

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.


2018 ◽  
Vol 31 (2) ◽  
pp. 107-133 ◽  
Author(s):  
Edward J. Lynch ◽  
Lindsay M. Andiola

ABSTRACT Recent advances in technology have increased the accessibility and ease in using eye-tracking as a research tool. These advances have the potential to benefit behavioral accounting researchers' understanding of the cognitive processes underlying individuals' judgments, decisions, and behaviors. However, despite its potential and wide use in other disciplines, few behavioral accounting studies use eye-tracking. The purpose of this paper is to familiarize accounting researchers with eye-tracking, including its advantages and limitations as a research tool. We start by providing an overview of eye-tracking and discussing essential terms and useful metrics, as well as the psychological constructs they proxy. We then summarize eye-tracking research across research domains, review accounting studies that use eye-tracking, and identify future research directions across accounting topics. Finally, we provide an instructional resource to guide those researchers interested in using eye-tracking, including important considerations at each stage of the study. JEL Classifications: M41; C91.


Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.


Author(s):  
Tomasz Kuligowski ◽  
Anna Skrzek ◽  
Błażej Cieślik

The aim of this study was to describe and update current knowledge of manual therapy accuracy in treating cervical and lumbar radiculopathy, to identify the limitations in current studies, and to suggest areas for future research. The study was conducted according to PRISMA guidelines for systematic reviews. A comprehensive literature review was conducted using PubMed and Web of Science databases up to April 2020. The following inclusion criteria were used: (1) presence of radiculopathy; (2) treatment defined as manual therapy (i.e., traction, manipulation, mobilization); and (3) publication defined as a Randomized Controlled Trial. The electronic literature search resulted in 473 potentially relevant articles. Finally, 27 articles were accepted: 21 on cervical (CR) and 6 in lumbar radiculopathy (LR). The mean PEDro score for CR was 6.6 (SD 1.3), and for LR 6.7 (SD 1.6). Traction-oriented techniques are the most frequently chosen treatment form for CR and are efficient in reducing pain and improving functional outcomes. In LR, each of the included publications used a different form of manual therapy, which makes it challenging to summarize knowledge in this group. Of included publications, 93% were either of moderate or low quality, which indicates that quality improvement is necessary for this type of research.


Author(s):  
Pedram Sendi ◽  
Arta Ramadani ◽  
Michael M. Bornstein

Background: The number of contingent valuation (CV) studies in dental medicine using willingness-to-pay (WTP) methodology has substantially increased in recent years. Missing values due to absent information (i.e., missingness) or false information (i.e., protest zeros) are a common problem in WTP studies. The objective of this study is to evaluate the prevalence of missing values in CV studies in dental medicine, to assess how these have been dealt with, and to suggest recommendations for future research. Methods: We systematically searched electronic databases (MEDLINE, Web of Science, Cochrane Library, PROSPERO) on 8 June 2021, and hand-searched references of selected reviews. CV studies in clinical dentistry using WTP for valuing a good or service were included. Results: We included 49 WTP studies in our review. Out of these, 19 (38.8%) reported missing values due to absent information, and 28 (57.1%) reported zero values (i.e., WTP valued at zero). Zero values were further classified into true zeros (i.e., representing the underlying preference of the respondent) or protest zeros (i.e., false information as a protest behavior) in only 9 studies. Most studies used a complete case analysis to address missingness while only one study used multiple imputation. Conclusions: There is uncertainty in the dental literature on how to address missing values and zero values in CV studies. Zero values need to be classified as true zeros versus protest zeros with follow-up questions after the WTP elicitation procedure, and then need to be handled differently. Advanced statistical methods are available to address both missing values due to missingness and due to protest zeros but these are currently underused in dental medicine. Failing to appropriately address missing values in CV studies may lead to biased WTP estimates of dental interventions.


Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 109
Author(s):  
Murat Çevikbaş ◽  
Zeynep Işık

Numerous studies have been conducted by researchers on the delay analysis topic, which is one of the primary areas of scientific study due to the effects of delays on time and cost in construction projects. Following fruitful contributions made by the researchers, it is believed to be extremely important to summarize the existing studies in terms of being a road map for future studies and practitioners. In this context, not only does this study aim to detect the most significant authors, sources, organizations and countries contributing to the improvement of delay domain in the construction industry concerning delay analyses worldwide but also to provide the researchers with extensive insights concerning the prominent research themes, trends and gaps in the literature. Hence, 168 documents related to delay analyses from 1982 to 11 February 2021 were detected through the Scopus Database and the Web of Science Database, and scientometric analyses were conducted via VOSviewer software. By evaluating the related research, two main research areas were detected in this field, namely; improving the delay analysis methods and resolving the disputes before they occur. This study is believed to make theoretical and practical contributions in that it examines the delay analysis topic in all aspects such as prominent institutions, countries, authors and sources, synthesizes the data and highlights possible research domains, gaps and trends concerning the delay analysis topic in construction industry.


2009 ◽  
Vol 9 (4) ◽  
pp. 1307-1325 ◽  
Author(s):  
D. K. Bird

Abstract. Questionnaires are popular and fundamental tools for acquiring information on public knowledge and perception of natural hazards. Questionnaires can provide valuable information to emergency management agencies for developing risk management procedures. Although many natural hazards researchers describe results generated from questionnaires, few explain the techniques used for their development and implementation. Methodological detail should include, as a minimum, response format (open/closed questions), mode of delivery, sampling technique, response rate and access to the questionnaire to allow reproduction of or comparison with similar studies. This article reviews current knowledge and practice for developing and implementing questionnaires. Key features include questionnaire design, delivery mode, sampling techniques and data analysis. In order to illustrate these aspects, a case study examines methods chosen for the development and implementation of questionnaires used to obtain information on knowledge and perception of volcanic hazards in a tourist region in southern Iceland. Face-to-face interviews highlighted certain issues with respect to question structure and sequence. Recommendations are made to overcome these problems before the questionnaires are applied in future research projects. In conclusion, basic steps that should be disclosed in the literature are provided as a checklist to ensure that reliable, replicable and valid results are produced from questionnaire based hazard knowledge and risk perception research.


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