Trend topics in animal science: a bibliometric analysis using CiteSpace
Trend topics in animal science: a bibliometric analysis using CiteSpace
The aim of this study was the identification of trends topics in animal science in the last five years using bibliometric analysis. The research data consisted of 6972 studies published between 2015 and 2019 in the top five journals of animal science field, according to the Journal Citation Reports. The journals were analyzed in terms of number and types of publications, author, institution, country productivity, citation analysis, and citation burst. In the study, emerging trends and animal science intellectual structures were visualized with social network analysis. The evidence revealed in this study suggests that ‘genomic prediction’ is the most effective field of study in animal science field. ‘Growth performance’, ‘Staphylococcus aureus’, and ‘Genomic prediction’ were found as active clusters, and these topics may become popular in the future. Moreover, as a result of the word analysis conducted on the works made in the field, it was found that most repeated words are dairy cow, cattle, and performance. Also, it is thought that this study, which is the first bibliometric study in the field of animal science, will provide useful information to the researchers who will work in this field.
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- 1. Kamdem JP, Duarte AE, Lima KRR, Rocha JBT, Hassan W et al. Research Trends in Food Chemistry: A bibliometric Review of its 40 years Anniversary (1976-2016). Food chemistry 2019; 294: 448-457. doi: 10.1016/j.foodchem.2019.05.021
- 2. Chen C. CiteSpace: A Practical Guide for Mapping Scientific Literature. NY, USA: Nova Science Publishers; 2016.
- 3. Pritchard A. Statistical bibliography or bibliometrics. Journal of Documentation 1969; 25 (4): 348-349.
- 4. Chen D, Liu Z, Luo Z, Webber M, Chen J. Bibliometric and visualized analysis of emergy research. Ecological Engineering 2016; 90: 285-293. doi: 10.1016/j.ecoleng.2016.01.026
- 5. Ellegaard O, Wallin JA. The bibliometric analysis of scholarly production: How great is the impact? Scientometrics 2015; 105 (2015): 1809-1831. doi: 10.1007/s11192-015-1645-z
- 6. Iqbal W, Qadir J, Tyson G, Mian AN, Hassan S-u, et al. A bibliometric analysis of publications in computer networking research. Scientometrics 2019; 119 (2): 1121-1155. doi: 10.1007/s11192-019-03086-z
- 7. Abejón R, Pérez-Acebo H, Garea A. A bibliometric analysis of research on supported ionic liquid membranes during the 1995–2015 period: Study of the main applications and trending topics. Membranes 2017; 7 (4): 63. doi: 10.3390/ membranes7040063.
- 8. Van Duijn MA, Vermunt JK. What is special about social network analysis? Methodology 2006; 2 (1): 2-6. doi: 10.1027/1614-2241.2.1.2
- 9. Crossley N, Prell C, Scott J. Social network analysis: introduction to special edition. Methodological Innovations Online 2009; 4 (1): 1-5. doi: 10.1177/205979910900400101
- 10. Hogan B, Carrasco JA, Wellman B. Visualizing personal networks: Working with participant-aided sociograms. Field Methods 2007; 19 (2): 116-144. doi: 10.1177/1525822X06298589
- 11. Yagci MI, Kuhzady S, Balik ZS, Öztürk L. In Search of Consumer’s Black Box: A Bibliometric Analysis of Neuromarketing Research. Journal of Consumer and Consumption Research 2018; 10 (1): 101-134.
- 12. Synnestvedt MB, Chen C, Holmes JH. CiteSpace II: visualization and knowledge discovery in bibliographic databases. AMIA Annual Symposium Proceedings 2005; 724-728.
- 13. Chen C, Ibekwe-SanJuan F, Hou J. The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology 2010; 61 (7): 1386-1409. doi: 10.1002/ asi.21309
- 14. Li X, Ma E, Qu H. Knowledge mapping of hospitality research− A visual analysis using CiteSpace. International Journal of Hospitality Management 2017; 60: 77-93. doi: 10.1016/j. ijhm.2016.10.006.
- 15. Guo S, Wang L, Xie Y, Luo X, Zhang S, et al. Bibliometric and visualized analysis of stem cells therapy for spinal cord injury based on Web of Science and CiteSpace in the last 20 years. World neurosurgery 2019; 132: e246-e258. doi: 10.1016/j. wneu.2019.08.191