scholarly journals Environmental Literacy Research: Global Scientometric Mapping of Five Decades

2021 ◽  
Vol 16 (3) ◽  
pp. 963-973
Author(s):  
Vijay Kumar R ◽  
Thamizhiniyan K Thamizhiniyan K ◽  
Naseema S. Naseema S.
Keyword(s):  
Environmental Literacy ◽  
R Package ◽  
Scientometric Analysis ◽  
Science Mapping ◽  
Policy Makers ◽  
Bibliographic Data ◽  
Mapping Analysis ◽  
Scientometric Study ◽  
Conference Papers ◽  
Literacy Research

To date, there is no scientometric study conducted on Environmental Literacy (EL) literature. Hence, this paper aims to bridge this gap.We aimed fora holistic scientometric analysis of scientific literature available on EL, whichresulted in finding global research trends in EL research. We operatedthe following scientometric tools: VOSviewer and Bibliometrix R Package-Biblioshiny for complete science mapping analysis of the collected bibliographic data retrieved from Scopus database. We analysed the Scopus scientific research outcomes during the last 50 years. The outcome included438 total documents published and among them 354 were articles and 84 were conference papers published by1112 authors from 50 countries. The findings of this study arevital for policy makers, researchers and other working in environmental education and literacy development to understand the potential gaps and strength in the current EL research in Scopus literature.

scholarly journals How scientific papers mention grey literature: a scientometric study based on Scopus data

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joachim Schöpfel ◽  
Hélène Prost
Keyword(s):  
Digital Libraries ◽  
Grey Literature ◽  
Scientometric Analysis ◽  
Long Tail ◽  
Document Type ◽  
Content Type ◽  
Scientific Papers ◽  
Scientometric Study ◽  
Conference Papers ◽  
Insight Into

Purpose The purpose of this paper is to provide empirical insight into the use of the term and concept of grey literature in recent scientific papers. Design/methodology/approach The author conducted a scientometric analysis with Scopus data on 1,606 papers mentioning grey (or gray) literature published in 2018. Additionally, the author analysed the evolution between 1999 and 2018, and performed a content analysis on a random subsample of 70 papers in open access. Findings The percentage of papers that mention grey literature is low (0.05%) but steadily rising. They are from over 100 countries and a long tail of institutions, covering, namely, medical and health sciences and related topics. The dominant document type is systematic reviews, defining grey literature generally thought of as “unpublished”, “not peer reviewed” and “not in databases” and meaning, most of the time, all kinds of reports and conference papers. A large variety of sources and options on how to retrieve grey literature is mentioned, including Google and Google Scholar, specialised digital libraries, relevant websites, handsearching in bibliographic references and contact with experts in the field. Research limitations/implications The study is limited to papers indexed in the Scopus database, mainly journals, written in English, with a bias in favour of medical and life sciences. Originality/value There is no recent study on the real usage of the term of grey literature in a large sample of academic papers.

scholarly journals A Scientometric Analysis of Neuroblastoma Research

2020 ◽  
Author(s):  
Illya Martynov ◽  
Jessica Klima-Frysch ◽  
Joachim Schoenberger
Keyword(s):  
Network Architecture ◽  
Research Output ◽  
Research Performance ◽  
R Package ◽  
Scientific Output ◽  
Scientometric Analysis ◽  
Valuable Insight ◽  
Mathematical Methods ◽  
Scholarly Data ◽  
Scientometric Study

Abstract Background: There are thousands of research articles in the field of neuroblastoma that have been published over the past few decades. However, the heterogeneity and variable quality of scholarly data may challenge scientists or clinicians to survey all published articles. However, holistic measuring and analyzing of neuroblastoma related literature by sophisticated mathematical methods can provide a unique opportunity to gain deep insights into the global research performance and collaborative architectonical structure within the neuroblastoma scientific community. In this scientometric study, we aim to determine the extent of the scientific output related to neuroblastoma research, focusing on the time period between 1980 and 2018. Methods: We apply novel scientometric tools, including Bibliometrix R package, biblioshiny, VOSviewer, and CiteSpace IV for comprehensive science mapping analysis of extensive bibliographic metadata which was retrieved from the Web of ScienceTM Core Collection database. Results: We demonstrate the enormous proliferation of neuroblastoma research during last the 38 years, including 12,435 documents published in 1,828 academic journals by 36,908 authors from 86 different countries. We determine the proportion of highly cited and never cited papers, “occasional” and “core” authors and journals. We identify the six most important clusters of authors and their interactions. Further, we show 10 (11.6%) of 86 countries were responsible for the three quarters of NB-related research output. Conclusions: These findings are crucial for researchers, clinicians, journal editors, and consortiums working in neuroblastoma area to understand the strengths and potential gaps in neuroblastoma research and to plan future investments in data collection and science policy. This first scientometric study of global neuroblastoma research performance provides valuable insight into the scientific landscape, co-authorship network architecture, international collaboration, and interaction within the neuroblastoma community.

scholarly journals Media Literacy A Scientometric Study Based on Web of Science during 1989 2020

2021 ◽  
Vol 41 (4) ◽  
pp. 302-307
Author(s):  
Vishal Dattatray Bapte
Keyword(s):  
South Africa ◽  
Media Literacy ◽  
Web Of Science ◽  
Research Output ◽  
Scientometric Analysis ◽  
Author Keywords ◽  
Link Strength ◽  
Prolific Authors ◽  
Scientometric Study ◽  
Literacy Research

The study aims to do the scientometric analysis of global research output of media literacy during last 30 years. These 30 years produced 1038 documents on media literacy which have been cited 15.37 per cent citation per item. Most of the articles were published during the block 2017-2020. Multiple co-authorship has been the trend in media literacy research. Primack, B (18), Austin, E. W. (17) and Hobbs, K. (14) are identified as the most prolific authors. Communicar with 96 publications is the most productive journal. Korea, South Africa and Norway registered the highest multiple collaboration ratio (MCR). USA, United Kingdom and Australia are the leading countries in terms of citations received. The co-authorship network reflects 175 clusters about the authors who came together to contribute on media literacy. Further co-occurrence of keywords is given on the basis of author keywords in which media literacy had the total link strength (TLS) of 729 with 329 documents.

scholarly journals A Scientometric Analysis of Neuroblastoma Research

2020 ◽  
Author(s):  
Illya Martynov ◽  
Jessica Klima-Frysch ◽  
Joachim Schoenberger
Keyword(s):  
Network Architecture ◽  
Research Output ◽  
Research Performance ◽  
R Package ◽  
Scientific Output ◽  
Scientometric Analysis ◽  
Valuable Insight ◽  
Scholarly Data ◽  
Prolific Authors ◽  
Scientometric Study

Abstract Background: Thousands of research articles on neuroblastoma have been published over the past few decades; however, the heterogeneity and variable quality of scholarly data may challenge scientists or clinicians to survey all of the available information. Hence, holistic measurement and analyzation of neuroblastoma-related literature with the help of sophisticated mathematical tools could provide deep insights into global research performance and the collaborative architectonical structure within the neuroblastoma scientific community. In this scientometric study, we aim to determine the extent of the scientific output related to neuroblastoma research between 1980 and 2018. Methods: We applied novel scientometric tools, including Bibliometrix R package, biblioshiny, VOSviewer, and CiteSpace IV for comprehensive science mapping analysis of extensive bibliographic metadata, which was retrieved from the Web of ScienceTM Core Collection database. Results: We demonstrate the enormous proliferation of neuroblastoma research during last the 38 years, including 12,435 documents published in 1,828 academic journals by 36,908 authors from 86 different countries. These documents received a total of 316,017 citations with an average citation per document of 28.35 ± 7.7. We determine the proportion of highly cited and never cited papers, “occasional” and prolific authors and journals. Further, we show 12 (13.9%) of 86 countries were responsible for 80.4% of neuroblastoma-related research output. Conclusions: These findings are crucial for researchers, clinicians, journal editors, and others working in neuroblastoma research to understand the strengths and potential gaps in the current literature and to plan future investments in data collection and science policy. This first scientometric study of global neuroblastoma research performance provides valuable insight into the scientific landscape, co-authorship network architecture, international collaboration, and interaction within the neuroblastoma community.

scholarly journals Landscape and Tourism: Evolution of Research Topics

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 488
Author(s):  
Mercedes Jiménez-García ◽  
José Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez
Keyword(s):  
National Parks ◽  
Web Of Science ◽  
Software Tool ◽  
Research Topics ◽  
Science Mapping ◽  
Research Fields ◽  
Complete Knowledge ◽  
Mapping Analysis ◽  
Landscape Research ◽  
Emerging Themes

Tourism and landscape are broad and complex scientific research fields, as is the synergy between them has given rise to a volume of articles diverse in nature, subject matter and methodology. These difficulties mean that, at present, there is no complete theoretical framework to support this tourism and landscape research, nor complete knowledge of its structure and organization. This motivates the present work, which constitutes the first attempt at mapping this research topic by applying bibliometric techniques using VOSviewer and Science Mapping Analysis Software Tool (SciMAT) software. A total of 3340 articles from journals indexed in Web of Science were analyzed. The results obtained confirm that interest in the study of these concepts has been growing, especially in the last decade. The main contribution of this work lies in the identification of work themes that were basic to the construction of the field but that are currently in decline, such as “cultural heritage” and other themes important to the field that should continue to be dealt with, such as “national parks” or “geotourism”. The transversal nature of sustainability that appears in the network of keywords related to currently emerging themes, such as “planning” and “environment”, is also highlighted and reinforced.

scholarly journals A Scientometric Study on Industrial Effluent and Sludge Toxicity

Toxics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 176
Author(s):  
Amid Mostafaie ◽  
Diogo N. Cardoso ◽  
Mohammadreza Kamali ◽  
Susana Loureiro
Keyword(s):  
Industrial Wastewater ◽  
Web Of Science ◽  
Industrial Effluent ◽  
Toxicity Assessment ◽  
Complex Compounds ◽  
Treated Wastewater ◽  
Scientometric Analysis ◽  
Water Medium ◽  
Before And After ◽  
Scientometric Study

The growth of industrialization has led to an increase in the production of highly contaminated wastewater. Industrial wastewater contains highly complex compounds varying in characteristics and required to be treated before its discharge into a water medium from various industries. However, the efficiency of the treated wastewater from the toxicity reduction perspective is unclear. In order to overcome this barrier, toxicity assessment of the industrial wastewater before and after treatment is crucial. Thus, in this study, a scientometric analysis has been performed on the toxicity assessment of industrial wastewater and sludges, which have been reported in the literature. Web of Science (WoS) core collection database has been considered the main database to execute this analysis. Via the search of pre-researched keywords, a total number of 1038 documents were collected, which have been published from 1951 to 2020. Via CiteSpace software and WoS analyser, these documents went under analysis regarding some of the scientometry criteria, and the detailed results obtained are provided in this study. The total number of published documents on this topic is relatively low during such a long period of time. In conclusion, the need for more detailed contributions among the scientific and industrial communities has been felt.

A scientometric analysis of BIM studies in facilities management

2019 ◽  
Vol 37 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Mustafa Hilal ◽  
Tayyab Maqsood ◽  
Amir Abdekhodaee
Keyword(s):  
Mapping Method ◽  
Facility Management ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Science Mapping ◽  
Content Type ◽  
Visual Maps ◽  
Building Information ◽  
Mapping Techniques

Purpose The purpose of this paper is to statistically classify and categorize Building Information Modelling (BIM)-Facility Management (FM) publications in order to extract useful information related to the adoption and use of BIM in FM. Design/methodology/approach This study employs a quantitative approach using science mapping techniques to examine BIM-FM publications using Web of Science (WOS) database for the period between 2000 and April 2018. Findings The findings guide the researchers who are interested in the BIM-FM model by providing visual maps analysis of that area in a simple, easy and readable way. In addition, they help the researchers to understand which authors and journals to consider when dealing with BIM-FM topics. Finally, knowledge gaps in this domain can be identified easily using the findings of the Scientometric analysis. Research limitations/implications First, the results of the analysis depend on the database that has been extracted from WOS, and therefore it carries any of WOS’s limitations in terms of how much it covers the published studies. Another limitation is that the study is based on exploration of “what” questions, rather than “how” and “why”. These limitations represent the hot topics to be addressed in future research. Originality/value This research is the first to conduct the Scientometric Analysis of BIM-FM topics, in which 68 top-ranked publications were systematically examined using a Science Mapping method through VOSviewer software.

bibliometrix : An R-tool for comprehensive science mapping analysis

2017 ◽  
Vol 11 (4) ◽  
pp. 959-975 ◽  
Author(s):  
Massimo Aria ◽  
Corrado Cuccurullo
Keyword(s):  
Science Mapping ◽  
Mapping Analysis

scholarly journals MiDAS - Meaningful Immunogenetic Data at Scale

2021 ◽  
Author(s):  
Maciej Migdal ◽  
Dan Fu Ruan ◽  
William F. Forrest ◽  
Amir Horowitz ◽  
Christian Hammer
Keyword(s):  
Amino Acid ◽  
Association Analysis ◽  
Fine Mapping ◽  
Data Transformation ◽  
R Package ◽  
Evolutionary Divergence ◽  
Statistical Association ◽  
Efficient Utilization ◽  
Mapping Analysis ◽  
Transformation Functions

Human immunogenetic variation in the form of HLA and KIR types has been shown to be strongly associated with a multitude of immune-related phenotypes. We present MiDAS, an R package enabling statistical association analysis and using immunogenetic data transformation functions for HLA amino acid fine mapping, analysis of HLA evolutionary divergence as well as HLA-KIR interactions. MiDAS closes the gap between inference of immunogenetic variation and its efficient utilization to make meaningful discoveries.

scholarly journals Node2vec Representation for Clustering Journals and as A Possible Measure of Diversity

2019 ◽  
Vol 4 (2) ◽  
pp. 79-92 ◽  
Author(s):  
Zhesi Shen ◽  
Fuyou Chen ◽  
Liying Yang ◽  
Jinshan Wu
Keyword(s):  
Design Methodology ◽  
Citation Network ◽  
Scientometric Analysis ◽  
Citation Data ◽  
Science Mapping ◽  
Diversity Measure ◽  
Rich Information ◽  
Vector Representations ◽  
Practical Implications ◽  
Journal Citation

Abstract Purpose To investigate the effectiveness of using node2vec on journal citation networks to represent journals as vectors for tasks such as clustering, science mapping, and journal diversity measure. Design/methodology/approach Node2vec is used in a journal citation network to generate journal vector representations. Findings 1. Journals are clustered based on the node2vec trained vectors to form a science map. 2. The norm of the vector can be seen as an indicator of the diversity of journals. 3. Using node2vec trained journal vectors to determine the Rao-Stirling diversity measure leads to a better measure of diversity than that of direct citation vectors. Research limitations All analyses use citation data and only focus on the journal level. Practical implications Node2vec trained journal vectors embed rich information about journals, can be used to form a science map and may generate better values of journal diversity measures. Originality/value The effectiveness of node2vec in scientometric analysis is tested. Possible indicators for journal diversity measure are presented.

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