Scientific mapping of “Social Information” field in Web of Science database: a bibliometric study

Introduction: Access to social information focuses on those technologies that put the users in interaction with the information, to provide the users more accessibility to the information. Objective: The analysis of intellectual structure of the published studies of social information field in the Web of Science (WoS) database according to bibliometric analysis and centrality indicators in WoS database in the period 1983 to 2018, is done through examining the effectiveness and impressionability of this field to recognize its studied fields and effective factors. Methodology: method of the research was descriptive that used bibliometric approaches based on the scientific data in WoS database; The common techniques such as co-word and co-author were used. The social information extracted data were analyzed by social network analysis centrality indicators of VOSviewer, Excel, and UCINET software. Results: The results shown that the most of these articles within social information field were published in USA, Germany, England, France, and China, and also some research outputs have been done in that fields in Korea and Iran. According to the scientific outputs of researchers in the WoS database, on the period 1983 to 2018, USA took the first place with 1496 articles. Authors such as Sheldon, Lalande, Webster, Karius, Nocera, Forceman, and Laaksonen have had the most cooperation in the production of social information field scientific outputs. Based on co-words analysis of web of science category (WC) and subject categories (SC), social information area in this study was divided into four clusters which their topics included social recognition, social behavior confronted with outer environment, social networks, learning and social information processing in human and software. Also, high degree into different centrality measure is related to Psychology, Telecommunication, behavioral sciences, evolutionary biology, and psychology, multidisciplinary in WC and SC

Scientific mapping of “Social Information” field in Web of Science database: a bibliometric study

Introduction: Access to social information focuses on those technologies that put the users in interaction with the information, to provide the users more accessibility to the information. Objective: The analysis of intellectual structure of the published studies of social information field in the Web of Science (WoS) database according to bibliometric analysis and centrality indicators in WoS database in the period 1983 to 2018, is done through examining the effectiveness and impressionability of this field to recognize its studied fields and effective factors. Methodology: method of the research was descriptive that used bibliometric approaches based on the scientific data in WoS database; The common techniques such as co-word and co-author were used. The social information extracted data were analyzed by social network analysis centrality indicators of VOSviewer, Excel, and UCINET software. Results: The results shown that the most of these articles within social information field were published in USA, Germany, England, France, and China, and also some research outputs have been done in that fields in Korea and Iran. According to the scientific outputs of researchers in the WoS database, on the period 1983 to 2018, USA took the first place with 1496 articles. Authors such as Sheldon, Lalande, Webster, Karius, Nocera, Forceman, and Laaksonen have had the most cooperation in the production of social information field scientific outputs. Based on co-words analysis of web of science category (WC) and subject categories (SC), social information area in this study was divided into four clusters which their topics included social recognition, social behavior confronted with outer environment, social networks, learning and social information processing in human and software. Also, high degree into different centrality measure is related to Psychology, Telecommunication, behavioral sciences, evolutionary biology, and psychology, multidisciplinary in WC and SC

Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis

BackgroundOne of the requirements for scientists and researchers to enter any field of science is to have a comprehensive and accurate understanding of that discipline. ObjectiveThis study aims to draw a science map, provide structural analysis, explore the evolution, and determine new trends in research articles published in the field of breast cancer. MethodsThis study comprised a descriptive survey with a scientometric approach. Data were collected from MEDLINE using a search strategy based on Medical Subject Heading (MeSH) terms. This study used science mapping, which provides a visual representation and a longitudinal evolution of possible interrelations between scientific areas, documents, or authors, thus reflecting the cognitive architecture of science mapping. For this scientometric evaluation of the topic of breast cancer research, a very long period was considered for data collection. Moreover, due to the availability of numerous publications in the database, the assessment was divided into three different periods ranging from 1988 to 2020. ResultsA total of 12,577 records related to scientometric studies were extracted. The field of breast cancer research demonstrated three diagrams containing the most relevant themes for the three chronological periods evaluated. Each diagram was plotted based on the centrality and density linked to each research topic. The research output in the field was observed to revolve around 8 areas or themes: radiation injury, cardiovascular disease, fibroadenoma, antineoplastic agent, estrogen antagonistic, immunohistochemistry, soybean, and epitopes, each represented with different colors. ConclusionsIn the strategic diagrams, the themes were both well developed and important for the structuring of a research field. The first quadrant comprised motor themes of the specialty, which present strong centrality and high density (eg, corticosteroid antineoplastic age, stem cell, T-lymphocyte, protein tyrosine kinase, dietary, and phosphatidyl inositol-3-kinase). In the second quadrant of diagram, themes have well-developed internal ties but unimportant external ties, as they are of only marginal importance for the field. These themes are very specialized and peripheral (eg, DNA-binding). In the third quadrant, themes are both weakly developed and marginal. The themes in this quadrant have low density and centrality and mainly represent either emerging or declining themes (eg, ovarian neoplasm). Themes in the fourth quadrant of the strategic diagram are considered important for a research field but are not fully developed. This quadrant contains transversal and general, basic themes (eg, immunohistochemistry). Scientometric analysis of breast cancer research can be regarded as a roadmap for future research and policymaking for this important field

Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study

Purpose. This study aims to create a science map, provide structural analysis, investigate evolution, and identify new trends in Helicobacter pylori (H. pylori) research articles. Methods. All Helicobacter publications were gathered from the Web of Science (WoS) database from August 2010 to 2021. The data were required for bibliometric analysis. The bibliometric analysis was performed with Bibliometrix R Tool. Bibliometric data were analyzed using the Bibliometrix Biblioshiny R-package software. Results. A total of 17,413 articles were reviewed and analyzed, with descriptive characteristics of the H. pylori literature included. In journals, 21,102 keywords plus and 20,490 author keywords were reported. These articles were also written by 56,106 different authors, with 262 being single-author articles. Most authors’ abstracts, titles, and keywords included “Helicobacter-pylori.” Since 2010, the total number of H. pylori-related publications has been decreasing. Gut, PLOS ONE, and Gastroenterology are the most influential H. pylori journals, according to source impact. China, the United States, and Japan are the countries with most affiliations and subjects. In addition, Seoul National University has published the most articles about H. pylori. According to the cloud word plot, the authors’ most frequently used keywords are gastric cancer (GC), H. pylori, gastritis, eradication, and inflammation. “Helicobacter pylori” and “infection” have the steepest slopes in terms of the upward trend of words used in articles from 2010 to 2021. Subjects such as GC, intestinal metaplasia, epidemiology, peptic ulcer, eradication, and clarithromycin are included in the diagram’s motor theme section, according to strategic diagrams. According to the thematic evolution map, topics such as Helicobacter pylori infection, B-cell lymphoma, CagA, Helicobacter pylori, and infection were largely discussed between 2010 and 2015. From 2016 to 2021, the top topics covered included Helicobacter pylori, H. pylori infection, and infection