Software tools for conducting bibliometric analysis in science: An up-to-date review

Moral-Muñoz, José A.; Liu, Xinyue; Santisteban‐Espejo, Antonio; Cobo, Manuel J.

doi:10.3145/epi.2020.ene.03

Cited by 647 publications

(498 citation statements)

References 73 publications

(28 reference statements)

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“…This choice is justified in the scientometric potentialities linked to the actions of searching, recording, analyzing, and predicting scientific literature [38]. Similarly, the guidance and considerations of experts in this type of study were followed [39].…”

Section: Methodsmentioning

confidence: 99%

Internet Addiction in the Web of Science Database: A Review of the Literature with Scientific Mapping

Moreno-Guerrero

García

Belmonte

et al. 2020

IJERPH

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Information and communication technologies (ICT) is a major element of today’s society with great potential that can offer both advantages and disadvantages. Addiction to the Internet and social networks is a growing problem in all age groups. Education is the context in which to work and train in the correct use of these media. The objective of the study focuses on knowing the scientific production and the performance of the concepts “addiction” and “internet” (ADIN). A bibliometric methodology complemented with the scientific mapping technique was followed. Different processes related to the quantification, analysis, evaluation, and estimation of scientific documents were carried out. The literature was analyzed by specific programs such as SciMAT, Analyze Results, and Creation Citation Report. The unit of analysis was specified in 5644 scientific publications extracted from Web of Science (WoS), belonging to the period of years between 1996 and 2019. The results showed that the evolution in the study of the addiction to the Internet is constant and continuous, with articles in English being the most used means to present the information on the part of the investigators. In addition, the subject of study was based on time, given that the coincidence of key words between the periods analyzed was high. In conclusion, the importance of promoting healthy living habits that include responsible use of the Internet are discussed.

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Section: Methodsmentioning

confidence: 99%

Internet Addiction in the Web of Science Database: A Review of the Literature with Scientific Mapping

Moreno-Guerrero

García

Belmonte

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…'Biblioshiny' is the tool under the package which is designed for non-coders to provide means for complete scientometric and bibliometric analysis offering numerous options divided into categories of sources, documents, authors, conceptual structure, social structure, and intellectual structure. It allows obtaining multiple results in the shape of tables and graphs, which are not common in other software [9]. Table I provides the descriptive characteristics of corona literature that is imperative to understand before moving forward with the analysis.…”

Section: Bibliometric Analysis and Visualizationmentioning

confidence: 99%

A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure

et al. 2020

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Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis is to provide a holistic review of the corona pandemic in the field of social sciences. This study aims to highlight significant, influential aspects, research streams, and themes. We have reviewed 395 journal articles related to coronavirus in the field of social sciences from 2003 to 2020. We have deployed 'biblioshiny' a web-interface of the 'bibliometrix 3.0' package of R-studio to conduct bibliometric analysis and visualization. In the field of social sciences, we have reported influential aspects of coronavirus literature. We have found that the 'Morbidity and Mortality Weekly Report' is the top journal. The core article of coronavirus literature is 'Guidelines for preventing health-care-associated pneumonia'. The most commonly used word, in titles, abstracts, author's keywords, and keywords plus, is 'SARS'. Top affiliation is 'The University of Hong Kong'. Hong Kong is a leading country based on citations, and the USA is on top based on total publications. We have used a conceptual framework to identify potential research streams and themes in coronavirus literature. Four research streams are found by deploying a co-occurrence network. These research streams are 'Social and economic effects of epidemic disease', 'Infectious disease calamities and control', 'Outbreak of COVID 19,' and 'Infectious diseases and the role of international organizations'. Finally, a thematic map is used to provide a holistic understanding by dividing significant themes into basic or transversal, emerging or declining, motor, highly developed, but isolated themes. These themes and subthemes have proposed future directions and critical areas of research.

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“…The choice of this research approach was based on the greatness of Scientometrics for the search, registration, analysis and prediction of scientific literature [29]. For optimal development, the guidelines of experts in bibliometric were followed [30].…”

Section: Methodsmentioning

confidence: 99%

Machine Learning and Big Data in the Impact Literature. A Bibliometric Review with Scientific Mapping in Web of Science

et al. 2020

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Combined use of machine learning and large data allows us to analyze data and find explanatory models that would not be possible with traditional techniques, which is basic within the principles of symmetry. The present study focuses on the analysis of the scientific production and performance of the Machine Learning and Big Data (MLBD) concepts. A bibliometric methodology of scientific mapping has been used, based on processes of estimation, quantification, analytical tracking, and evaluation of scientific research. A total of 4240 scientific publications from the Web of Science (WoS) have been analyzed. Our results show a constant and ascending evolution of the scientific production on MLBD, 2018 and 2019 being the most productive years. The productions are mainly in English language. The topics are variable in the different periods analyzed, where “machine-learning” is the one that shows the greatest bibliometric indicators, it is found in most of motor topics and is the one that offers the greatest line of continuity between the different periods. It can be concluded that research on MLBD is of interest and relevance to the scientific community, which focuses its studies on the branch of machine-learning.

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Software tools for conducting bibliometric analysis in science: An up-to-date review

Cited by 647 publications

References 73 publications

Internet Addiction in the Web of Science Database: A Review of the Literature with Scientific Mapping

Internet Addiction in the Web of Science Database: A Review of the Literature with Scientific Mapping

A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure

Machine Learning and Big Data in the Impact Literature. A Bibliometric Review with Scientific Mapping in Web of Science

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