Bibliometric analysis of research on microcystins in China and worldwide from 1991 to 2011

Wang, Yun; Hou, Songjun; Fei, Ke; Gao, Hong

doi:10.1080/19443994.2013.838519

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…It is defined as the number of articles with citation numbers higher than or equal to h. In addition, the h-index does not only represent the actual production, but also the apparent influence of a group's or a scholar's published work [18]. Previous research also found that the h-index has a higher predictive potential than the total number of articles published, total number of citations, and average citations per publication [63]. The proceedings tend to have a high h-index.…”

Section: General Characteristics Of Research Publications In Phycobiliproteins Studymentioning

confidence: 99%

Uncovering Research Trends of Phycobiliproteins Using Bibliometric Approach

Tan

Yusoff

Khaw

et al. 2021

Plants

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Phycobiliproteins are gaining popularity as long-term, high-value natural products which can be alternatives to synthetic products. This study analyzed research trends of phycobiliproteins from 1909 to 2020 using a bibliometric approach based on the Scopus database. The current findings showed that phycobiliprotein is a burgeoning field in terms of publications outputs with “biochemistry, genetics, and molecular biology” as the most related and focused subject. The Journal of Applied Phycology was the most productive journal in publishing articles on phycobiliproteins. Although the United States of America (U.S.A.) contributed the most publications on phycobiliproteins, the Chinese Academy of Sciences (China) is the institution with the largest number of publications. The most productive author on phycobiliproteins was Glazer, Alexander N. (U.S.A.). The U.S.A. and Germany were at the forefront of international collaboration in this field. According to the keyword analysis, the most explored theme was the optimization of microalgae culture parameters and phycobiliproteins extraction methods. The bioactivity properties and extraction of phycobiliproteins were identified as future research priorities. Synechococcus and Arthrospira were the most cited genera. This study serves as an initial step in fortifying the phycobiliproteins market, which is expected to exponentially expand in the future. Moreover, further research and global collaboration are necessary to commercialize phycobiliproteins and increase the consumer acceptability of the pigments and their products.

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Section: General Characteristics Of Research Publications In Phycobiliproteins Studymentioning

confidence: 99%

Uncovering Research Trends of Phycobiliproteins Using Bibliometric Approach

Tan

Yusoff

Khaw

et al. 2021

Plants

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“…Bibliometric or scientometric analyses have become fundamental tools for analyzing current trends within the scientific literature and provide guidelines and motivations for future research in specific fields or areas. Recently, bibliometric analyses have been reported on eutrophication [17], diatom research [18], microcystins in China [19], photosynthesis [20] and microalgae research [21]. However, although these reports indirectly addressed dinoflagellate research, curiously this area has not been specifically emphasized-with the exception of Barbosa Noga and Ferreira Gomes [22] summarizing Brazilian dinoflagellate studies.…”

Section: Introductionmentioning

confidence: 99%

A Scientometric Overview of Global Dinoflagellate Research

Oliveira

Müller

et al. 2020

Publications

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Understanding the evolution of scientific literature is a critical and necessary step for the development and strengthening of a research field. However, an overview of global dinoflagellate research remains unavailable. Herein, global dinoflagellate research output was analyzed based on a scientometric approach using the Scopus data archive. The basic characteristics and worldwide interactions of dinoflagellate research output were analyzed to determine the temporal evolution and new emerging trends. The results confirm that dinoflagellate research output, reflected in the number of publications, is a fast-growing area since the mid-1990s. In total, five research subareas emerged using a bibliometric keywords analysis: (1) “symbiosis with coral reefs”, (2) “phylogeny”, (3) “palynology”, (4) “harmful algal blooms” and (5) “nutrition strategies”. Dinoflagellate publications were modeled by fish production (both aquaculture and fisheries) and economic and social indexes. Finally, directions for future research are proposed and discussed. The presented scientometric analysis confirms that dinoflagellate research is an active and important area with focus on mitigating economic impacts, especially in regard to fish production.

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“…In bibliometric studies, keyword analysis, as core content summary of articles, has long been used to identify research focus in ecological disciplines [5,6,7,8,9,10]. Author keywords contain information that authors consider as most concerned and relevant to their studies, and high-frequency keywords are deemed to reflect the hot issues, and could be used to reveal the research trends [11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

Measuring popularity of ecological topics in a temporal dynamical knowledge network

Huang

Zhao

2019

PLoS ONE

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As interdisciplinary branches of ecology are developing rapidly in the 21st century, contents of ecological researches have become more abundant than ever before. Along with the exponential growth of number of published literatures, it is more and more difficult for ecologists to get a clear picture of their discipline. Nevertheless, the era of big data has brought us massive information of well documented historical literature and various techniques of data processing, which greatly facilitates the implementation of bibliometric analysis on ecology. Frequency has long been used as the primary metric in keyword analysis to detect ecological hotspots, however, this method could be somewhat biased. In our study, we have suggested a method called PAFit to measure keyword popularity, which considered ecology-related topics in a large temporal dynamical knowledge network, and found out the popularity of ecological topics follows the “rich get richer” and “fit get richer” mechanism. Feasibility of network analysis and its superiority over simply using frequency had been explored and justified, and PAFit was testified by its outstanding performance of prediction on the growth of frequency and degree. In addition, our research also encourages ecologists to consider their domain knowledge in a large dynamical network, and be ready to participate in interdisciplinary collaborations when necessary.

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Bibliometric analysis of research on microcystins in China and worldwide from 1991 to 2011

Cited by 7 publications

References 36 publications

Uncovering Research Trends of Phycobiliproteins Using Bibliometric Approach

Uncovering Research Trends of Phycobiliproteins Using Bibliometric Approach

A Scientometric Overview of Global Dinoflagellate Research

Measuring popularity of ecological topics in a temporal dynamical knowledge network

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