scholarly journals Strategies of Elicitation to Enhance Bioactive Compound Content in Edible Plant Sprouts: A Bibliometric Study

Plants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2759
Author(s):  
María Trinidad Toro ◽  
Jaime Ortiz ◽  
José Becerra ◽  
Nelson Zapata ◽  
Paulo Fierro ◽  
...  

Vegetable sprouts are a food source that presents high content of bioactive compounds which can also be enhanced through elicitation mechanisms. To better understand the scientific production and research trends on this topic, a bibliometric analysis by means of the Web of Science database was carried out. The results showed significant growth in research on the elicitation of edible plants sprouts. The three most productive journals were the Journal of Agricultural and Food Chemistry, followed by Food Chemistry and LWT-Food Science and Technology. The co-occurrence of keyword analysis of the different authors showed that the main research topics in this domain were ‘germination’, ‘antioxidant activity’, ‘sprouts’, ‘glucosinolates’ and ‘phenolics‘. The countries with the highest number of scientific publications were China, followed by India and USA. The productivity patterns of the authors conformed to Lotka’s law. This study provides an overview of research on elicitation to enrich bioactive compounds in sprouts, and the need to review and update the trends on this subject.

2021 ◽  
pp. 1-17
Author(s):  
Bao-Zhong Yuan ◽  
Jie Sun

BACKGROUND: The strawberry (Fragaria×annanasa Duch.) is a fresh fruit of its attractive colour, good flavor and enrichment of nutrients in the world. OBJECTIVE: This study analyzed the 3,885 strawberry research papers both article and review types from Food Science and Technology category. METHODS: The data were searched and extracted from Web of Science database, and were analyzed by bibliometric science and visualization tools. RESULTS: Papers mainly written in English (3,754, 96.628%), were from 12,695 authors, 94 countries/territories, 2,689 organizations and in 168 Journals and book series. The top five Journals were Journal of Agricultural and Food Chemistry (432, 11.12%), Food Chemistry (338, 8.7%), Postharvest Biology and Technology (245, 6.306%), Journal of the Science of Food and Agriculture (187, 4.813%) and Journal of Food Science (185, 4.762%), which each published more than 185 papers. The top five countries and regions were USA, Spain, Peoples R China, Italy and Brazil. The top five organizations were CSIC, ARS (USDA ARS), Univ Calif Davis, Univ Politecn Valencia and Zhejiang Univ. The top five authors were Battino Maurizio, Giampieri Francesca, Wang Shiow Y. (Wang, SY), Mezzetti Bruno and Carle Reinhold (Carle R), each published more than 23 papers. All keywords of the strawberry research from Food Science and Technology category were separated nine clusters for different research topics. CONCLUSIONS: The paper could provide a valuable guide for designing future studies, and is also useful for student identifying graduate schools and researchers selecting journals.


2020 ◽  
Vol 10 (2) ◽  
pp. 69-81
Author(s):  
María Paulina Brito Ochoa ◽  
Maria Asuncion Sacristan- Navarro ◽  
Eva Pelechano- Barahona

This paper examines the various contributions of scientific research in the field of dynamic capabilities in the field of family businesses, using a bibliometric approach during the period 2009-2019. The volume of scientific publications found in the Web of Science (WOS) database was equal to 56 articles. The application of bibliometric methods and techniques has allowed to reflect the evolution of the level of publications, active institutions, methodologies employed and main research topics discussed. Taking into account the results obtained, future lines of research are proposed that allow progress in the consolidation of the study of dynamic capacities in the field of family businesses as a scientific discipline


2019 ◽  
Vol 42 (1) ◽  
pp. 199-222 ◽  
Author(s):  
Xian Zhang

AbstractThis study used the bibliometric method to examine the field of second language acquisition (SLA) between 1997 and 2018 to provide a systematic overview of the field and to discover major trends in SLA. Based on citation/cocitation information and keywords retrieved from Web of Science, this study performed three types of bibliometric analyses to identify the prominent scholarly documents, authors, research institutions, geographic regions, and research topics that have been highly influential in the field of SLA over the last two decades. The scientific network maps and the keyword analysis revealed a number of significant changes as well as new trends in the field.


2014 ◽  
Vol 644-650 ◽  
pp. 2772-2775
Author(s):  
Bing Wu ◽  
Chen Yan Zhang

Web 2.0 provides richer user experiences by allowing online collaboration and sharing among users. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in collaboration research in Web 2.0. The result indicates that the number of citation literature on this topic mainly distributes in recent 7 years, reaching climax of 4 in 2012. The main research territory is China, accounting for 22.222%. Accordingly the organization is city univ Hong Kong. And from the analysis of research area, research on information science library and computer science account for more than 50%. Overall, the related research topics can be classified into Web 2.0 in education, Web 2.0 in research, collaborative product development, climate reconstruction, public value in E-Government.


2021 ◽  
Vol 13 (8) ◽  
pp. 4559
Author(s):  
Pengnan Xiao ◽  
Yong Zhou ◽  
Xigui Li ◽  
Jie Xu ◽  
Chong Zhao

A great amount of negative influence on human existence and environmental protection has been brought on by heavy metal pollution in agriculture soil. Thus, major awareness has been diverted to the evaluation of heavy metals (EHM) in agricultural land, which is used to improve the environment and ensure people’s health. Based on 3759 publications collected from the Web of Science Core CollectionTM (WoS), this paper’s aim is to illustrate a comprehensive bibliometric run-through and visualization of the subject of EHM. Contingent on influential authors, top institutions, keywords are discussed in detail. Afterwards, the ruling publications and focal assemblage of EHM and leading publications are analyzed to discover the main research topics, according to citation analysis and reference co-citation analysis. The main motive of the paper is to assist research workers interested in the area of EHM determine the ongoing potential research opportunities and hotspots.


2020 ◽  
Author(s):  
Hengki Wijaya ◽  
Arismunandar ◽  
Hamsu Abdul Gani

Until now, learning is still focused on thecognitive realm only. One aspect that is often neglected issocial attitudes, which are part of the affective aspect thathas an essential role in social life. The limited number ofresearchers who touch on this area makes referencesources of social attitudes still limited. This study is aSystematic Literature Review (SLR) using the PRISMAmodel. This model is considered a reasonablycomprehensive model because it has four main stages:identification, screening, eligibility, and inclusion.Researchers collected data from various open access datasources such as Google Scholar, Web of Science (WoS),Scopus, ERIC, Researchgate.net, Academia.com, andSciencedirect.com. Furthermore, the data were analyzedusing content analysis techniques in obtaining anoverview of trends and implications of research oneducation and learning social attitudes over the past tenyears. The results showed that there were only 14 articlesthat met the criteria for further analysis. The fourteenarticles discuss several main research topics, such as (1)improving students' social attitudes through learningmodels/approaches/methods, (2) learning social attitudesin the context of inclusive education, (3) developing andvalidating social attitude instruments, and so on other.These findings indicate the need for further and morecomprehensive research on learning social attitudes sothat this aspect is increasingly understood by variouselements of education as an aspect that is as important asthe cognitive aspect.


2013 ◽  
Vol 411-414 ◽  
pp. 2865-2868
Author(s):  
Bing Wu ◽  
Chen Yan Zhang

This study is a review on literatures gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning research in E-Learning 2.0. The result indicates that the number of citation literature on this topic mainly distributes in recently 7 years, reaching climax of 9 in 2011. The main research territory is Taiwan, followed by England, Spain, and USA. And from the analysis of research area, research on educational purpose accounts for 50%. Accordingly the percentage of source title as computers education is 16.667%. Overall, the related research topics can be classified into system design and management for E-Learning 2.0.


2018 ◽  
Vol 6 (4) ◽  
pp. 46 ◽  
Author(s):  
Bryan Pesta ◽  
John Fuerst ◽  
Emil Kirkegaard

An article’s keywords are distinct because they represent what authors feel are the most important words in their papers. Combined, they can even shed light on which research topics in a field are popular (or less so). Here we conducted bibliometric keyword analyses of articles published in the journal, Intelligence (2000–2016). The article set comprised 916 keyword-containing papers. First, we analyzed frequencies to determine which keywords were most/least popular. Second, we analyzed Web of Science (WOS) citation counts for the articles listing each keyword and we ran regression analyses to examine the effect of keyword categories on citation counts. Third, we looked at how citation counts varied across time. For the frequency analysis, “g factor”, “psychometrics/statistics”, and “education” emerged as the keywords with the highest counts. Conversely, the WOS citation analysis showed that papers with the keywords “spatial ability”, “factor analysis”, and “executive function” had the highest mean citation values. We offer tentative explanations for the discrepant results across frequencies and citations. The analysis across time revealed several keywords that increased (or decreased) in frequency over 17 years. We end by discussing how bibliometric keyword analysis can detect research trends in the field, both now and in the past.


2019 ◽  
Vol 11 (11) ◽  
pp. 3121 ◽  
Author(s):  
Luis Javier Cabeza Ramírez ◽  
Sandra M. Sánchez-Cañizares ◽  
Fernando J. Fuentes-García

This paper examines the evolution of research in Entrepreneurship published in Web of Science, a reference database. A bibliometric content analysis has been carried out as part of this investigation, allowing for a longitudinal study of the main research topics dealt with over time, ranging from classic topics such as its conception to more recent realities that include Social and Sustainable Entrepreneurship. This paper locates research trends by studying the evolution of citations and by incorporating use metrics. The results point to the existence of seven cognitive fronts that have marked the field’s growth and conceptual evolution. Furthermore, evidence is presented that shows how innovation has historically been the thread that links all the core themes. The topics and trends detected contribute specially to advancing the current discussion on entrepreneurship and coordinating future research efforts.


2021 ◽  
Vol 236 ◽  
pp. 05074
Author(s):  
Fang Luo ◽  
Xiangdong Dai ◽  
Yanli Huang

This paper has retrieved 979 literatures in the field of visualization of cultural heritage information between 2000 and 2020 from Web Of Science core collection. With the keys words as the unit of analysis, cluster analysis and co-word analysis as the research methods and SciMAT as the tool, it has identified research highlights and evolution paths in different periods. The research has found that research topics vary a lot in different periods. Part of the thematic studies are strongly related in sequence, the evolutionary relations between topics gradually become complex in the middle and latter period, and 5 evolution paths are presented in general. System is the main research interests and will continue to be the research highlights. Museum becomes a fundamental topic with great potential in the field after continuous integration and regeneration. 3-D visualization, with the largest time span and various research contents, is the fundamental topic in the field.


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