Study on Map Knowledge Domains of Transgenic Maize Based on Citespace

Xin-Tong Li; Dan-Hui Mao; Jing-Min Cheng

doi:doi:10.11648/j.ajaf.20180603.12

| Peer-Reviewed

Study on Map Knowledge Domains of Transgenic Maize Based on Citespace

Xin-Tong Li, Dan-Hui Mao, Jing-Min Cheng

Published in American Journal of Agriculture and Forestry (Volume 6, Issue 3)

Received: 1 April 2018 Accepted: 16 April 2018 Published: 18 May 2018

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

To analyze the hotspots and trend of the study on global transgenic maize, the paper collected literature on transgenic maize from 2001 to 2018 which are included in the core journals in the database of Web science as samples and used Citespace for visual analysis of mapping knowledge domain of studies on transgenic maize, based on the bibliometric method. As a result, 3546 pieces of documents have been sifted out from 3557 pieces of documents which have been retrieved according to the search strategy, the literature are in a stable situation and show a tendency of increase. The paper analyzed the scientific knowledge graphs on co-authors analysis network, co-institutions analysis network, author co-citation analysis network, citation analysis network and keyword co-appearance network by using Citespace software. Therefore, in cluster analysis, it is found that in the study on transgenic maize, Chinese scholars and institutions hold an advantage in quantity while the citation of foreigners’literature is higher than Chinese. Besides, the focus of global research is mainly about bacillus thuringiensis, arabidopsis thaliana, protein, gene expression, transformation, resistant, etc.

Published in	American Journal of Agriculture and Forestry (Volume 6, Issue 3)
DOI	10.11648/j.ajaf.20180603.12
Page(s)	44-49
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Transgetic Maize, Citespace, Scientific Knowledge Graph, Hotspot, Trend

References

[1]	Cilve James. Global Development of Commercialization of Genetically Modified Crops in 2016 [J]. China Biotechno-logy, 2017, 37(4):1-8. (In Chinese)
[2]	USDA Data. Adoption of genetically engineered crops in the U.S. retrieved [EB/OL]. https://www.ers.usda.gov/data pro-ducts/adoption-of-genetically-engineered-crops-in-the-us.aspx, 2017.
[3]	Lee TH; Ho HK; Leung TF. Genetically modified foods and allergy [J]. Hong Kong Med Journal, 2017, 23(3):291-295.
[4]	Sarah Z. Agapito-Tenfen;Fern Wickson. Challenges for transgene detection in landraces and wild relatives: learning from 15 years of debate over GM maize in Mexico [J]. Biodiversity and Conservation, 2018, 27(3):539-566.
[5]	José M. Merigó, Witold Pedrycz, Richard Weber, et al. Fifty years of Information Sciences: A bibliometric overview [J]. Information Sciences, 2018, 432:245-268.
[6]	Bendegul Okumus, Mehmet Ali Koseoglu, Forest Ma. Food and gastronomy research in tourism and hospitality: A bibliometric analysis [J]. International Journal of Hospitality Management, 2018, 73:64-74.
[7]	Wu Shirong. Bibliometric Analysis of Genetically Modified Maize Research in China [J]. Journal of Library and Information Sciences in Agriculture, 2014, 26(4):50-53. (In Chinese)
[8]	Wei-jun Wang, Guo-pei Cai. Method and Application of Information Analysis. Beijing Jiaotong University Press, 2010, 5-10. (In Chinese)
[9]	Chen C. Cite Space II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technology2006;3:359-377.
[10]	Jie Li, Chao-mei Chen. Citespace: Text Mining and Visualization in Scientific Literature. Capital University of Economics and Business Press, 2016, 180-182. (In Chinese)
[11]	Jing-min Cheng. Study on Pre-warning System of Food Safety. The Economics Daily Press, 2014, 13-16. (In Chinese)

Cite This Article

Plain Text BibTeX RIS

APA Style

Xin-Tong Li, Dan-Hui Mao, Jing-Min Cheng. (2018). Study on Map Knowledge Domains of Transgenic Maize Based on Citespace. American Journal of Agriculture and Forestry, 6(3), 44-49. https://doi.org/10.11648/j.ajaf.20180603.12

Copy | Download

ACS Style

Xin-Tong Li; Dan-Hui Mao; Jing-Min Cheng. Study on Map Knowledge Domains of Transgenic Maize Based on Citespace. Am. J. Agric. For. 2018, 6(3), 44-49. doi: 10.11648/j.ajaf.20180603.12

Copy | Download

AMA Style

Xin-Tong Li, Dan-Hui Mao, Jing-Min Cheng. Study on Map Knowledge Domains of Transgenic Maize Based on Citespace. Am J Agric For. 2018;6(3):44-49. doi: 10.11648/j.ajaf.20180603.12

Copy | Download

@article{10.11648/j.ajaf.20180603.12,
  author = {Xin-Tong Li and Dan-Hui Mao and Jing-Min Cheng},
  title = {Study on Map Knowledge Domains of Transgenic Maize Based on Citespace},
  journal = {American Journal of Agriculture and Forestry},
  volume = {6},
  number = {3},
  pages = {44-49},
  doi = {10.11648/j.ajaf.20180603.12},
  url = {https://doi.org/10.11648/j.ajaf.20180603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20180603.12},
  abstract = {To analyze the hotspots and trend of the study on global transgenic maize, the paper collected literature on transgenic maize from 2001 to 2018 which are included in the core journals in the database of Web science as samples and used Citespace for visual analysis of mapping knowledge domain of studies on transgenic maize, based on the bibliometric method. As a result, 3546 pieces of documents have been sifted out from 3557 pieces of documents which have been retrieved according to the search strategy, the literature are in a stable situation and show a tendency of increase. The paper analyzed the scientific knowledge graphs on co-authors analysis network, co-institutions analysis network, author co-citation analysis network, citation analysis network and keyword co-appearance network by using Citespace software. Therefore, in cluster analysis, it is found that in the study on transgenic maize, Chinese scholars and institutions hold an advantage in quantity while the citation of foreigners’literature is higher than Chinese. Besides, the focus of global research is mainly about bacillus thuringiensis, arabidopsis thaliana, protein, gene expression, transformation, resistant, etc.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Study on Map Knowledge Domains of Transgenic Maize Based on Citespace
AU  - Xin-Tong Li
AU  - Dan-Hui Mao
AU  - Jing-Min Cheng
Y1  - 2018/05/18
PY  - 2018
N1  - https://doi.org/10.11648/j.ajaf.20180603.12
DO  - 10.11648/j.ajaf.20180603.12
T2  - American Journal of Agriculture and Forestry
JF  - American Journal of Agriculture and Forestry
JO  - American Journal of Agriculture and Forestry
SP  - 44
EP  - 49
PB  - Science Publishing Group
SN  - 2330-8591
UR  - https://doi.org/10.11648/j.ajaf.20180603.12
AB  - To analyze the hotspots and trend of the study on global transgenic maize, the paper collected literature on transgenic maize from 2001 to 2018 which are included in the core journals in the database of Web science as samples and used Citespace for visual analysis of mapping knowledge domain of studies on transgenic maize, based on the bibliometric method. As a result, 3546 pieces of documents have been sifted out from 3557 pieces of documents which have been retrieved according to the search strategy, the literature are in a stable situation and show a tendency of increase. The paper analyzed the scientific knowledge graphs on co-authors analysis network, co-institutions analysis network, author co-citation analysis network, citation analysis network and keyword co-appearance network by using Citespace software. Therefore, in cluster analysis, it is found that in the study on transgenic maize, Chinese scholars and institutions hold an advantage in quantity while the citation of foreigners’literature is higher than Chinese. Besides, the focus of global research is mainly about bacillus thuringiensis, arabidopsis thaliana, protein, gene expression, transformation, resistant, etc.
VL  - 6
IS  - 3
ER  -

Copy | Download

Author Information

Xin-Tong Li

School of Management, Shanxi Medical University, Taiyuan, China
Dan-Hui Mao

School of Management, Shanxi Medical University, Taiyuan, China
Jing-Min Cheng

School of Management, Shanxi Medical University, Taiyuan, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Xin-Tong Li, Dan-Hui Mao, Jing-Min Cheng. (2018). Study on Map Knowledge Domains of Transgenic Maize Based on Citespace. American Journal of Agriculture and Forestry, 6(3), 44-49. https://doi.org/10.11648/j.ajaf.20180603.12

Copy | Download

ACS Style

Xin-Tong Li; Dan-Hui Mao; Jing-Min Cheng. Study on Map Knowledge Domains of Transgenic Maize Based on Citespace. Am. J. Agric. For. 2018, 6(3), 44-49. doi: 10.11648/j.ajaf.20180603.12

Copy | Download

AMA Style

Xin-Tong Li, Dan-Hui Mao, Jing-Min Cheng. Study on Map Knowledge Domains of Transgenic Maize Based on Citespace. Am J Agric For. 2018;6(3):44-49. doi: 10.11648/j.ajaf.20180603.12

Copy | Download

@article{10.11648/j.ajaf.20180603.12,
  author = {Xin-Tong Li and Dan-Hui Mao and Jing-Min Cheng},
  title = {Study on Map Knowledge Domains of Transgenic Maize Based on Citespace},
  journal = {American Journal of Agriculture and Forestry},
  volume = {6},
  number = {3},
  pages = {44-49},
  doi = {10.11648/j.ajaf.20180603.12},
  url = {https://doi.org/10.11648/j.ajaf.20180603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20180603.12},
  abstract = {To analyze the hotspots and trend of the study on global transgenic maize, the paper collected literature on transgenic maize from 2001 to 2018 which are included in the core journals in the database of Web science as samples and used Citespace for visual analysis of mapping knowledge domain of studies on transgenic maize, based on the bibliometric method. As a result, 3546 pieces of documents have been sifted out from 3557 pieces of documents which have been retrieved according to the search strategy, the literature are in a stable situation and show a tendency of increase. The paper analyzed the scientific knowledge graphs on co-authors analysis network, co-institutions analysis network, author co-citation analysis network, citation analysis network and keyword co-appearance network by using Citespace software. Therefore, in cluster analysis, it is found that in the study on transgenic maize, Chinese scholars and institutions hold an advantage in quantity while the citation of foreigners’literature is higher than Chinese. Besides, the focus of global research is mainly about bacillus thuringiensis, arabidopsis thaliana, protein, gene expression, transformation, resistant, etc.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Study on Map Knowledge Domains of Transgenic Maize Based on Citespace
AU  - Xin-Tong Li
AU  - Dan-Hui Mao
AU  - Jing-Min Cheng
Y1  - 2018/05/18
PY  - 2018
N1  - https://doi.org/10.11648/j.ajaf.20180603.12
DO  - 10.11648/j.ajaf.20180603.12
T2  - American Journal of Agriculture and Forestry
JF  - American Journal of Agriculture and Forestry
JO  - American Journal of Agriculture and Forestry
SP  - 44
EP  - 49
PB  - Science Publishing Group
SN  - 2330-8591
UR  - https://doi.org/10.11648/j.ajaf.20180603.12
AB  - To analyze the hotspots and trend of the study on global transgenic maize, the paper collected literature on transgenic maize from 2001 to 2018 which are included in the core journals in the database of Web science as samples and used Citespace for visual analysis of mapping knowledge domain of studies on transgenic maize, based on the bibliometric method. As a result, 3546 pieces of documents have been sifted out from 3557 pieces of documents which have been retrieved according to the search strategy, the literature are in a stable situation and show a tendency of increase. The paper analyzed the scientific knowledge graphs on co-authors analysis network, co-institutions analysis network, author co-citation analysis network, citation analysis network and keyword co-appearance network by using Citespace software. Therefore, in cluster analysis, it is found that in the study on transgenic maize, Chinese scholars and institutions hold an advantage in quantity while the citation of foreigners’literature is higher than Chinese. Besides, the focus of global research is mainly about bacillus thuringiensis, arabidopsis thaliana, protein, gene expression, transformation, resistant, etc.
VL  - 6
IS  - 3
ER  -

Copy | Download