Journals In Category Research Articles

Selection of tools/ criteria for measuring the level of Leanness

Companies have failed to implement Lean. One of the suggestions for solutions is to conduct an assessment of the current Lean application of the enterprise. Lean tools/criteria are diverse, and empirical studies which have applied one of these tools/criteria however are yet based on subjective viewpoints, which leads to a different result, and assessment results may not be accurate. The purpose of this study is to propose a lean measurement tool(s)/criterion that ensures reliability and is (are) widely recognized at an acceptable level. This study uses Scopus and Web of Science databases to synthesize data and compare it to AJG 2021 journal classification. In addition, with the research combining the citation analysis method, using the artificial intelligence analysis tool to analyze, based on this method, hopefully, the results confirm whether the selected set of assessment tools/criteria is rejected or accepted by the scientific community. Research results show that tools/criteria to evaluate leanness currently tend to be applied for manufacturing enterprises. There has been yet no specific measuring tool/criteria for service businesses, and they do not reach perfection. From the obtained results, at present, this study suggests two assessment tools/criteria: one for high-tech manufacturing enterprises; one for the other manufacturing industries.

Science maps for exploration, navigation, and reflection-A graphic approach to strategic thinking.

The world of science is growing at an unprecedented speed with more and more scholarly papers produced each year. The scientific landscape is constantly changing as research specialties evolve, merge or become obsolete. It is difficult for researchers, research managers and the public alike to keep abreast with these changes and maintain a true and fair overview of the world of science. Such an overview is necessary to stimulate scientific progress, to maintain flexible and responsive research organizations, and to secure collaboration and knowledge exchange between different research specialties and the wider community. Although science mapping is applied to a wide range of scientific areas, examples of their practical use are sparse. This paper demonstrates how to use a topical, scientific reference maps to understand and navigate in dynamic research landscapes and how to utilize science maps to facilitate strategic thinking. In this study, the research domain of biology at Aarhus University serves as an example. All scientific papers authored by the current, permanent staff were extracted (6,830 in total). These papers were used to create a semantic cognitive map of the research field using a co-word analysis based on keywords and keyword phrases. A workflow was written in Python for easy and fast retrieval of information for topic maps (including tokens from keywords section and title) to generate intelligible research maps, and to visualize the distribution of topics (keywords), papers, journal categories, individual researchers and research groups on any scale. The resulting projections revealed new insights into the structure of the research community and made it possible to compare researchers or research groups to describe differences and similarities, to find scientific overlaps or gaps, and to understand how they relate and connect. Science mapping can be used for intended (top-down) as well as emergent (bottom-up) strategy development. The paper concludes that science maps provide alternative views of the intricate structures of science to supplement traditional bibliometric information. These insights may help strengthen strategic thinking and boost creativity and thus contribute to the progress of science.

HAMBATAN IMPLEMENTASI KOMUNIKASI ILMIAH AKSES TERBUKA: TINJAUAN SISTEMATIS

Barriers to the implementation of open access globally need to be studied further using a systematic review. The purpose of this study is to look at the barriers from various countries in implementing open access. This study uses a systematic review method with a qualitative approach. The data collection method is in the form of planning, implementation, and synthesis of search results. This study uses Google Scholar to capture all research on implementing scientific communication with open access in the global realm. The search results on Google Scholar using Boolean logic found 273 articles. After the elimination process based on research objectives became 16 articles. This study shows that the biggest obstacle in implementing open access is the perception of the researchers (33.3%) which indicates that the quality of open access journals is less guaranteed, that is, many of them fall into the category of predatory journals. In addition, another obstacle identified was policy (25.6%). The government or stakeholders must make policies that regulate the standards for the quality of open access journals, the editorial board, and the time intervals for publishing journals. Other obstacles include financial factors where many researchers have minimal research funds but open access publications require large funds (23.1%), followed by copyright (10.3%) and language (7.7%) because not all researchers are fluent in English. The results of this study can be used as a reference for further research in assessing the obstacles that have also been happened in Indonesia.

Clarivate listed nursing journals in 2020: what they publish and how they measure use of social media

Abstract Objectives To investigate what the most common types of articles that nursing journals purport to publish are and what they actually publish. And to investigate the extent to which academic nursing journals listed by Clarivate track alternative metrics. Methods Journals included in the nursing Journal Citation Report (JCR) journal category in 2019 described as nursing were identified and considered suitable for inclusion in the analysis. Instructions for authors were reviewed online and mention of each type of article is identified. The tables of contents of each issue of each journal published during 2019 were examined and the types of articles published were extracted to a spreadsheet into permitted article types and published articles. Likewise, the use of alternative metrics by each journal was extracted to a spreadsheet. Pearson's and Spearman's correlation analysis was applied to investigate the relationship between articles permitted and articles published. Results In the 2020 JCR, 123 journals were listed. The most common article type permitted was original research (n = 117), followed by review papers (n = 116), and discussion papers (n = 63). Original research (n = 7045); review papers (n = 1268); discussion papers (n = 1225); editorials (n = 793) and commentaries (n = 776) were the most commonly published categories of the article. Of journals examined, 108 (96.8%) tracked mentions on social media and the Altmetric score was most commonly used (75%). There was a strong correlation (r = 0.73; P = 0.002) between the numbers of articles permitted and published and a strong correlation (ρ = 0.86; P < 0.001) in terms of the rankings of the permitted and published articles. Conclusions There is a relationship between the most frequently permitted article types and those published, especially for the most frequent categories of both. Original articles, review papers, and discussion papers are the backbone of academic publishing in nursing with original articles vastly outweighing review and discussion papers. Most Clarivate listed journals now use some method of tracking alternative metrics indicating how seriously publishers take their social media profiles.

Charting the divide: a science-mapping perspective on the relationship between human and physical geography

With the aim of developing a reflection on the documental level of geography, and to understand how physical and human geography are materially related, this paper analyzes an ample spectrum of indexed literature from a distant reading perspective based on scientometric tools. Moving under a sociology of science lens, the study address (I) the citational relationship between the two fields, and (II) how scientific articles in geography are mobilised and combined with different categories of research journals in a cognate scientific field. The study relies on science mapping techniques to chart, describe, and visualize the citational relationships among journals and fields.

Advancing Diversity, Equity, and Inclusion in Scientific Publishing

Advancing Diversity, Equity, and Inclusion in Scientific Publishing

Applying Text Mining, Clustering Analysis, and Latent Dirichlet Allocation Techniques for Topic Classification of Environmental Education Journals

Facing the big data wave, this study applied artificial intelligence to cite knowledge and find a feasible process to play a crucial role in supplying innovative value in environmental education. Intelligence agents of artificial intelligence and natural language processing (NLP) are two key areas leading the trend in artificial intelligence; this research adopted NLP to analyze the research topics of environmental education research journals in the Web of Science (WoS) database during 2011–2020 and interpret the categories and characteristics of abstracts for environmental education papers. The corpus data were selected from abstracts and keywords of research journal papers, which were analyzed with text mining, cluster analysis, latent Dirichlet allocation (LDA), and co-word analysis methods. The decisions regarding the classification of feature words were determined and reviewed by domain experts, and the associated TF-IDF weights were calculated for the following cluster analysis, which involved a combination of hierarchical clustering and K-means analysis. The hierarchical clustering and LDA decided the number of required categories as seven, and the K-means cluster analysis classified the overall documents into seven categories. This study utilized co-word analysis to check the suitability of the K-means classification, analyzed the terms with high TF-IDF wights for distinct K-means groups, and examined the terms for different topics with the LDA technique. A comparison of the results demonstrated that most categories that were recognized with K-means and LDA methods were the same and shared similar words; however, two categories had slight differences. The involvement of field experts assisted with the consistency and correctness of the classified topics and documents.

Neuropathic Pain and Ultrasonography: A Multiperspective Literature Evaluation

Among the tools useful for the management of neuropathic pain, ultrasound presents several advantages, shown by the literature. We assessed the scientific production about neuropathic pain and ultrasound from different points of view: general topics, journal categories, geographical origin and lexical analysis. We searched papers on PubMed using the Medical Subject Headings “neuropathic pain” AND “ultrasound”. We collected data about the journals where the papers were published, the country of the affiliation of the first author. For the lexical analysis, we evaluated the presence of selected words in the papers, and we built a graph representing the connections among words and papers. The papers were focused on the use of ultrasound as a diagnostic tool and guide for the therapy, assessing its application in different diseases such as Morton’s neuroma and piriformis syndrome. The most represented journal category was anesthesia while the most common country the United States of America. The lexical analysis confirmed the importance of ultrasound for diagnosis of specific disease and treatment of pain. The described approaches provide a multiperspective evaluation of the literature and may support the interpretation of the information contained by the papers.

Research Ethics Committees’ Evaluations and Paper Publication s in Brazilian Journals

Resolutions 466/2012 and 510/2016 from the Brazilian National Health Council present the determination that each institution which performs researches that involve human beings need to have a Research Ethics Committee (CEP). Those Committees have, as their first attribution, to evaluate research protocols for studies that involve human beings, analyzing ethical aspects of the work, and also to have a consultive and educative role in ethical matters. The ethical issues on research are becoming a debated topic, and so the CEP`s evaluation becomes more critical as ethical validation of the research. This paper aims to analyse the role of CEP’s ethical evaluation as a requirement for publication in Brazilian journals. The methodology consists in the analysis of “instructions to authors” from Brazilian Journals. The selection of journals will be made amongst the best classified in the Brazilian journal classification (QUALIS-Capes). Initial results suggest that, despite there are some journals that demand the CEP ethical analysis to publish the research, there is still a large number of journals that do not require a CEP approval to publish the paper, casting aside the importance of the evaluation.

Ghostwriting and Authorship Practices in Biomedical Research: A Study Protocol

"Background: Scientific paper authorship represents an important form of academic attainment for research professionals and brings specific benefits (e.g., contribution science, recognizing the author’s intellectual efforts). Authors certify their work’s integrity by accepting the responsability of the published content. The principal two important unethical authorship is honorary authors (the criteria of authorship not met) and ghost authors (contributed substantially but not listed as an author). Aim: The current study has two-fold aim: to determine the prevalence of authorship violations in the biomedical journals according to the Web of Science classification and to evaluate its variation by article type (e.g., research, review, or editorial) and presence/absence authors contributions requirements. Materials and Methods: The following steps will be apply: 1) Identification of journal categories of interest – data source: Journal Citation Reports 2020 (JCR2020); 2) Identification of the eligible journal – JCR2020 by selection of journals weighted according to the number of jorunals in a specific category. The selection will be stratified by the Rank by Journal Citation Indicator (JCI); 3) Collection of characteristics of the included journals regarding the year 2020: total number of articles, number of articles and references, number of reviews and associated references; JCI percentile, open access policy and publication fee if applicable; 4) Random selection (simple random method) of authors who published in 2020. The selection will be done weighted according to the number of manuscripts published in 2020; 5) Development and validation of the questionnaire; 6) Invitation of the corresponding author to participate in the study; 7) Online anonymously data collection. The study protocol will be deposited in an international database. "

Publication Benchmarking Data Based on Faculty Promoted at the Top 200 Worldwide Accounting Research Institutions

SYNOPSISThe primary purpose of this paper is to update and extend past promotion benchmarking studies. We update prior benchmarking studies by providing publication benchmarking data for faculty promoted between 2013 and 2019, inclusive. We extend prior benchmarking studies by evaluating a larger number of institutions (the top 200 worldwide accounting institutions), using a more global journal list, and providing sensitivity analyses between journal lists. We group institutions based on rankings and report a possible minimum publication hurdle for each group in each journal category. In addition, we provide data on the mix, or percentage, of publications in each journal category for each institution ranking group.Data Availability: Contact the authors.

Bibliometric analysis of global research on white rot fungi biotechnology for environmental application.

In recent years, white rot fungi (WRFs) have received tremendous attention as a biotechnological tool for environmental pollution control. In order to systematically and comprehensively describe the progress, trends, and hotspots of WRF biotechnology in the field of environmental pollution control, the 3967 related publications from 2003 to 2020 were collected from Web of Science Core Collection database, and the bibliometric characteristics including publication output, country, institution, journal, author, citation frequency, h-index, and research focus were evaluated by using Excel 2007, CiteSpace V, and VOSviewer. The results indicated that the number of research publications increased rapidly before 2009, but after that, the number of publications fluctuated in a certain range. China and USA were the most productive countries and the most active country in international cooperation. In this field, most authors tend to cooperate within a small group. The journal and subject category with the largest number of publications are “International Biodeterioration & Biodegradation” and “Biotechnology Applied Microbiology”, respectively. The analysis of high-frequency keywords revealed that “laccase”, “biodegradation”, “decolorization”, and “Phanerochaete chrysosporium” were the most cited terms among all publications. The pretreatment of biomass waste, decolorization of dye wastewater, and bioremediation of polluted environment are the key research directions of WRF biotechnology. Finally, the frontier topics and active authors in this research field were identified using burst detection. We believe that this bibliometric study provides a comprehensive and systematic overview and promoted the future cooperative research and knowledge exchange in this field of WRF biotechnology for environmental applications.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11356-021-15787-1.

Mapping the scientific research on radiology departments: Global trends in publication, collaboration and trending topics

PurposeTo characterize the global research trend in radiology departments based on bibliometric indicators. Material and methodAs a source of information, Science Citation Index Expanded and Journal Citation Reports from Web of Science Core Collection (WoSCC) were used. Annual trends, journals of publication, subject categories of journals, collaboration indexes between authors and institutions, network of cowords and most cited papers were identified and analysed. The period of study was 2009–2018. Results283,587 downloaded papers were analysed. The number of articles was increasing, as well as the percentage of funded works. Papers were published in 7314 different journals, being the most productive Plos One (5077), followed by American Journal of Roentgenology (4602) and European Radiology (3644). Most productive subject categories of journals were Radiology, Nuclear Medicine & Medical Imaging (86,568 papers), Clinical Neurology (29,722) and Surgery (23,564). International collaboration has increased more than 5 points, from 15.2% in 2009 to 20.7% in 2018. ConclusionsMost cited articles were published in high impact journals outside the scope of diagnostic imaging. Most influential topics included technical innovations within imaging modalities. MRI replaced conventional radiography and CT as the imaging technique of choice in imaging research.

A 10-year Analytical Review of New Russian Medical Journals (2010–2019)

This article presents the results of the analysis of peer-reviewed periodical scientific medical journals founded in Russia over the past 10 years (2010–2019). The selection process was carried out using a specially developed methodology, which made it possible to identify 84 Russian medical journals with an emphasis on practical medicine, which were included in international databases (DBs): Ulrich’s Periodicals Directory and two leading information and analytical systems: Scopus, and Web of Science. With the use of information and analytical tools provided by these databases, as well as two Russian resources, eLIBRARY.RU and the database of VINITI RAS, the subject classification of journals, publishing houses, the language of publications, access to publications, along with their available bibliometric indicators have been determined. A good result was observed regarding the integration of the analyzed editions into the Scopus (22 out of 84) and Web of Science (5 out of 84) international databases. A discrepancy in the subject classification of journals has been revealed between various databases. All the considered classifiers had different results, with the most detailed subject specification found for the system of in-depth indexing of topics using both the State Classifier of Scientific and Technical Information and the Rubricator of VINITI RAS, which provides the most accurate structuring of information that facilitates rapid and effective searching for data.

Insight into the characteristics of research published in traditional, complementary, alternative, and integrative medicine journals: a bibliometric analysis

BackgroundTraditional, complementary, alternative and integrative medicine (TCAIM) can be described as diverse medical and healthcare interventions, practices, products, or disciplines that are not considered as part of conventional medicine. Inherent in its definition, TCAIMs are comprised of a wide variety of therapies with highly variable safety and effectiveness evidence profiles. Despite this, the use of many TCAIMs is highly prevalent among patients globally. The present study consists of a bibliometric analysis of TCAIM journals.MethodsA single search of all International Standard Serial Number (ISSNs) of all journals categorized as “complementary and alternative medicine” (code 2707) based on the All Science Journal Classification (ASJC) was run on Scopus on April 17, 2021. All publication types were included; no further search limits were applied. The following bibliometric data were collected: number of publications (in total and per year), authors and journals; open access status; journals publishing the highest volume of literature and their impact factors; language, countries, institutional affiliations, and funding sponsors of publications; most productive authors; and highest-cited publications. Trends associated with this subset of publications were identified and presented. Bibliometric indicators of production were calculated, and bibliometric networks were constructed and visualized using the software tool VOSviewer.ResultsA total of 172,466 publications (42,331 open access), were published by 219,680 authors in 143 journals from 1938 to 2021. Since the 1940s, an upward trend with respect to the volume of publications can be observed, with a steep increase observed between the mid-2000s and mid-2010s. The journal that published the largest number of publications was the Journal of Natural Products (n = 15,144). The most productive countries included China (n = 45,860), the United States (n = 29,523), and Germany (n = 10,120); a number of the most common institutional affiliations and funding sponsors also originated from these three countries.ConclusionsThe number of publications collectively published in TCAIM journals follows an upward trend. Given a high prevalence of TCAIM use among patients, increased acceptance of TCAIM among conventional healthcare providers, and growing interest in the research of TCAIM, future work should continue to investigate and track changes in the publication characteristics of the emerging research on this topic.

Financial development and foreign direct investment nexus: A systematic review of literature

In this study, we review the literature to find how the financial development of a country attracts foreign direct investments for a sustainable real sector development of the country. The area is least focused on literature. Thus we don’t limit our search and review to any time or database or journal category. We find the theoretical logic and empirical evidence so far available in the literature. Our review finds that the development of the financial sector of a country is one of the most important attractors of FDIs. Theoretically, financial sector development works as a symbol of trust and goodness to the new potential investors and a good resource allocation channel for the existing investors. However, very few researchers find that FDIs are more prone to countries with a low developed financial system which may happen due to the presence of risk-taker foreign investors and risk-averse domestic entrepreneurs.

Performance Analysis of Abstract based Classification of Medical Journals using Ensemble Methods

Fetching the suitable web-based literature is one of the leading issues faced by the researchers now-a-days. This is due to the increase in number of articles with lack of appropriate keyword searching procedures. Specifically, in the field of biomedical research, the scientific literature repositories are growing exponentially. So, getting the appropriate and relevant documents from the vast amount of biomedical literatures is one of the key issues. To tackle the issue this research work proposed a model that uses topic modelling algorithm as the prior step before the implementation of ensemble algorithms to efficiently do the automatic labeling and classification respectively. National Center for Biotechnology Information’s (NCBI) - PubMed is the biggest source of peer-reviewed biological literatures for researchers and health practitioners in the field of biomedical. The dataset is collected from the NCBI’s Pubmed website. In this proposed work, we implemented and evaluated the performance of existing multiple classifier ensemble algorithms such as Bagging and Boosting. In this analysis, we have found that the Decision Tree algorithm performs well than other models.

A systematic review of the research framework and evolution of smart homes based on the internet of things

The Internet of Things has brought unprecedented technological innovation to smart homes, but the impact of this change on technology and users is limited and dispersed. Based on a systematic literature review, the present research conducted a quantitative analysis of 2874 papers (published in 2008–2020) obtained from the Web of Science to bridge the research gap. The current research identifies the development status and trends, country distribution, and journal categories in this area. Then, based on the main topics covered by smart homes, we proposed a holistic research framework that integrates the infrastructure layer, the communications technology layer, the data analytics layer, and the user service layer. The framework analyzed wireless sensing networks, communication protocols, and security threats, as well as the activity identification process and user services, highlighting the lack of some degree of integration in this area. This study also discussed the evolution of hot spots in the field of smart homes and summarized potential future research directions. Finally, in the discussion section, this paper summarized the research contribution and compared the main proposed technical solutions. We hope this work will provide a solid basis for research and practical guidance for scholars and developers interested in smart homes based on the Internet of Things.

Tracing the context in disciplinary classifications: A bibliometric pairwise comparison of five classifications of journals in the social sciences and humanities

Abstract Despite the centrality of disciplinary classifications in bibliometric analyses, it is not well known how the choice of disciplinary classification influences bibliometric representations of research in the social sciences and humanities (SSH). This is especially crucial when using data from national databases. Therefore, we examine the differences in the disciplinary profile of an article along with the absolute and relative number of articles across disciplines using five disciplinary classifications for journals. We use data on journal articles (2006–2015) from the national bibliographic databases VABB-SHW in Flanders (Belgium) and Cristin in Norway. Our study is based on pairwise comparisons of the local classifications used in these databases, the Web of Science subject categories, the Science-Metrix, and the ERIH PLUS journal classifications. For comparability, all classifications are mapped to the OECD Fields of Research and Development classification. The findings show that the choice of disciplinary classification can lead to over- or underestimation of the absolute number of publications per discipline. In contrast, if the focus is on the relative numbers, the choice of classification has practically no influence. These findings facilitate an informed choice of a disciplinary classification for journals in SSH when using data from national databases.

A computational literature review of football performance analysis through probabilistic topic modeling

This research aims to illustrate the potential use of concepts, techniques, and mining process tools to improve the systematic review process. Thus, a review was performed on two online databases (Scopus and ISI Web of Science) from 2012 to 2019. A total of 9649 studies were identified, which were analyzed using probabilistic topic modeling procedures within a machine learning approach. The Latent Dirichlet Allocation method, chosen for modeling, required the following stages: 1) data cleansing, and 2) data modeling into topics for coherence and perplexity analysis. All research was conducted according to the standards of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses in a fully computerized way. The computational literature review is an integral part of a broader literature review process. The results presented met three criteria: (1) literature review for a research area, (2) analysis and classification of journals, and (3) analysis and classification of academic and individual research teams. The contribution of the article is to demonstrate how the publication network is formed in this particular field of research, and how the content of abstracts can be automatically analyzed to provide a set of research topics for quick understanding and application in future projects.