Farm Animal Welfare Is a Field of Interest in China: A Bibliometric Analysis Based on CiteSpace
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Literature Search Strategy
2.2. Literature Process Strategy
2.3. Literature Analysis Strategy
3. Results
3.1. Statistical Analysis
3.1.1. Annual Publication Output
3.1.2. Distribution of Species
3.1.3. Highly Productive Authors
3.1.4. Highly Productive Institutions
3.1.5. Journals-of-Choice
3.2. Co-Authorship Analysis
3.2.1. Co-Authorship Analysis of Authors
3.2.2. Co-Authorship Analysis of Institutions
3.3. Keyword Analysis
3.3.1. Keywords with High Occurrence
3.3.2. Keywords Clustering Labels with High Occurrence
3.3.3. Keywords with the Strongest Citation Bursts
4. Discussion
4.1. Number of Publications
4.2. Development Process
4.3. Species Differences
4.4. Major Contributors
4.5. Collaborative Relationships
4.6. Research Hotspots
4.7. Research Frontiers
5. Conclusions and Limitations
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- National Bureau of Statistics of China. Available online: https://data.stats.gov.cn/english/easyquery.htm?cn=C01 (accessed on 8 June 2023).
- Wang, X.; Wu, X.; Yan, P.; Gao, W.; Chen, Y.; Sui, P. Integrated Analysis on Economic and Environmental Consequences of Livestock Husbandry on Different Scale in China. J. Clean. Prod. 2016, 119, 1–12. [Google Scholar] [CrossRef]
- Tarazona, A.M.; Ceballos, M.C.; Broom, D.M. Human Relationships with Domestic and Other Animals: One Health, One Welfare, One Biology. Animals 2020, 10, 43. [Google Scholar] [CrossRef]
- Platto, S.; Serres, A.; Jingyi, A. Chinese College Students’ Attitudes towards Animal Welfare. Animals 2022, 12, 156. [Google Scholar] [CrossRef]
- Carnovale, F.; Jin, X.; Arney, D.; Descovich, K.; Guo, W.; Shi, B.; Phillips, C.J.C. Chinese Public Attitudes towards, and Knowledge of, Animal Welfare. Animals 2021, 11, 855. [Google Scholar] [CrossRef] [PubMed]
- Sun, Y.; Ip, P.S.; Jones, M.; Wang, J.J.; An, Y. Determinants of Animal Welfare Disclosure Practices: Evidence from China. Sustainability 2021, 13, 2200. [Google Scholar] [CrossRef]
- Construction for Intensive Pig Farms. Available online: https://std.samr.gov.cn/search/std?q=GB%2FT17824.1-2022 (accessed on 8 June 2023).
- International Cooperation Committee of Animal Welfare. Available online: http://www.iccaw.org.cn/iccawbz (accessed on 8 June 2023).
- Humane Farm Animal Care. Available online: http://certifiedhumanechina.org/display/314455.html (accessed on 8 June 2023).
- World Conference on Farm Animal Welfare. Available online: http://www.wcfaw.com (accessed on 8 June 2023).
- You, X.; Li, Y.; Zhang, M.; Yan, H.; Zhao, R. A Survey of Chinese Citizens’ Perceptions on Farm Animal Welfare. PLoS ONE 2014, 9, e109177. [Google Scholar] [CrossRef]
- Jiang, B.; Tang, W.; Cui, L.; Wei, Y. Factors Influencing Chinese Public Attitudes toward Farm Animal Welfare. Front. Psychol. 2023, 14, 1049530. [Google Scholar] [CrossRef] [PubMed]
- Sinclair, M.; Phillips, C.J.C. Asian Livestock Industry Leaders’ Perceptions of the Importance of, and Solutions for, Animal Welfare Issues. Animals 2019, 9, 319. [Google Scholar] [CrossRef]
- Sinclair, M.; Zhang, Y.; Descovich, K.; Phillips, C.J.C. Farm Animal Welfare Science in China-A Bibliometric Review of Chinese Literature. Animals 2020, 10, 540. [Google Scholar] [CrossRef]
- Freire, R.; Nicol, C.J. A Bibliometric Analysis of Past and Emergent Trends in Animal Welfare Science. Anim. Welf. 2019, 28, 465–485. [Google Scholar] [CrossRef]
- Kemec, A.; Altinay, A.T. Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools. Sustainability 2023, 15, 3618. [Google Scholar] [CrossRef]
- Li, J.; Xue, E.; Cao, J.; He, Y.; Wu, Y.; Hou, H. Knowledge Mapping of the Rural Teacher Development Policy in China: A Bibliometric Analysis on Web of Science. Sustainability 2023, 15, 7057. [Google Scholar] [CrossRef]
- Liu, Z.; Wang, S.; Zhang, Y.; Feng, Y.; Liu, J.; Zhu, H. Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis. Foods 2023, 12, 1242. [Google Scholar] [CrossRef] [PubMed]
- Zhang, D.; Xu, J.; Zhang, Y.; Wang, J.; He, S.; Zhou, X. Study on Sustainable Urbanization Literature Based on Web of Science, Scopus, and China National Knowledge Infrastructure: A Scientometric Analysis in CiteSpace. J. Clean. Prod. 2020, 264, 121537. [Google Scholar] [CrossRef]
- Tu, S.J.; Jin, C.; Chen, B.T.; Xu, A.Y.; Luo, C.; Wang, X.H. Study on the Fusion of Sports and Medicine in China from 2012 to 2021: A Bibliometric Analysis via CiteSpace. Front. Public Health 2022, 10, 939557. [Google Scholar] [CrossRef]
- Dang, Q.; Luo, Z.; Ouyang, C.; Wang, L. First Systematic Review on Health Communication Using the CiteSpace Software in China: Exploring Its Research Hotspots and Frontiers. Int. J. Environ. Res. Public Health 2021, 18, 13008. [Google Scholar] [CrossRef]
- Li, X.; Hu, S.; Jiang, L.; Han, B.; Li, J.; Wei, X. Bibliometric Analysis of the Research (2000-2020) on Land-Use Carbon Emissions Based on CiteSpace. Land 2023, 12, 165. [Google Scholar] [CrossRef]
- Manuelian, C.L.; Penasa, M.; da Costa, L.; Burbi, S.; Righi, F.; De Marchi, M. Organic Livestock Production: A Bibliometric Review. Animals 2020, 10, 618. [Google Scholar] [CrossRef]
- Li, P.J. Exponential Growth, Animal Welfare, Environmental and Food Safety Impact: The Case of China’s Livestock Production. J. Agric. Environ. Ethics 2009, 22, 217–240. [Google Scholar] [CrossRef]
- Li, X.; Zito, S.; Sinclair, M.; Phillips, C.J.C. Perception of Animal Welfare Issues during Chinese Transport and Slaughter of Livestock by a Sample of Stakeholders in the Industry. PLoS ONE 2018, 13, e0197028. [Google Scholar] [CrossRef]
- Liang, Y.; Hua, G.; Cai, W.; Li, G.; Wang, H.; Li, H. Knowledge of Animal Welfare and Consumers’ Behavioral Intentions in China: A Moderated Mediation Model of Product Cognition and Empathy. Animals 2022, 12, 1043. [Google Scholar] [CrossRef]
- Welfare on Killing Animals for Disease Control Purposes. Available online: https://std.samr.gov.cn/search/std?tid=&q=GB%2FT%2042071-2022 (accessed on 8 June 2023).
- Qiang, W.; Xiao, C.; Li, Z.; Yang, L.; Shen, F.; Zeng, L.; Ma, P. Impactful Publications of Critical Care Medicine Research in China: A Bibliometric Analysis. Front. Med. 2022, 9, 974025. [Google Scholar] [CrossRef] [PubMed]
- Feng, L.; Shang, S.; Feng, X.; Kong, Y.; Bai, J. Evolution and Trend Analysis of Research Hotspots in the Field of Pollution-Intensive Industry Transfer-Based on Literature Quantitative Empirical Study of China as World Factory. Front. Environ. Sci. 2022, 10, 732734. [Google Scholar] [CrossRef]
- Niu, Y.; Adam, M.; Hussein, H. Connecting Urban Green Spaces with Children: A Scientometric Analysis Using CiteSpace. Land 2022, 11, 1259. [Google Scholar] [CrossRef]
- Pan, X.; Yan, E.; Cui, M.; Hua, W. Examining the Usage, Citation, and Diffusion Patterns of Bibliometric Mapping Software: A Comparative Study of Three Tools. J. Informetr. 2018, 12, 481–493. [Google Scholar] [CrossRef]
- Chen, C. CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. J. Am. Soc. Inf. Sci. Technol. 2006, 57, 359–377. [Google Scholar] [CrossRef]
- Guo, Y.; Geng, X.; Chen, D.; Chen, Y. Sustainable Building Design Development Knowledge Map: A Visual Analysis Using CiteSpace. Buildings 2022, 12, 969. [Google Scholar] [CrossRef]
- Chen, M.; Zhang, Y.; Dong, L.; Guo, X. Bibliometric Analysis of Stroke and Quality of Life. Front. Neurol. 2023, 14, 1143713. [Google Scholar] [CrossRef] [PubMed]
- Zheng, D.; Wu, Z.; Li, L.; Chen, S.; Chang, J. Research Advances and Trends in the Surgical Treatment of Carpal Tunnel Syndrome from 2003 to 2022: A CiteSpace-Based Bibliometric Analysis. Front. Neurol. 2023, 14, 1124407. [Google Scholar] [CrossRef] [PubMed]
- Li, C.; Sun, M.Y.; Tian, S.L. Research Hotspots and Effectiveness of Transcranial Magnetic Stimulation in Pain: A Bibliometric Analysis. Front. Hum. Neurosci. 2022, 16, 887246. [Google Scholar] [CrossRef]
- Zuo, Z.; Cheng, J.; Guo, H.; Li, Y. Knowledge Mapping of Research on Strategic Mineral Resource Security: A Visual Analysis Using CiteSpace. Resour. Policy 2021, 74, 102372. [Google Scholar] [CrossRef]
- Guo, Y.; Xu, Z.Y.R.; Cai, M.T.; Gong, W.X.; Shen, C.H. Epilepsy with Suicide: A Bibliometrics Study and Visualization Analysis via CiteSpace. Front. Neurol. 2022, 12, 823474. [Google Scholar] [CrossRef]
- Larsen, P.O.; von Ins, M. The Rate of Growth in Scientific Publication and the Decline in Coverage Provided by Science Citation Index. Scientometrics 2010, 84, 575–603. [Google Scholar] [CrossRef] [PubMed]
- Gallo, C.; Vejar, L.; Galindo, F.; Huertas, S.M.; Tadich, T. Animal Welfare in Latin America: Trends and Characteristics of Scientific Publications. Front. Vet. Sci. 2022, 9, 1030454. [Google Scholar] [CrossRef]
- Uyanga, V.A.; Musa, T.H.; Oke, O.E.; Zhao, J.; Wang, X.; Jiao, H.; Onagbesan, O.M.; Lin, H. Global Trends and Research Frontiers on Heat Stress in Poultry from 2000 to 2021: A Bibliometric Analysis. Front. Physiol. 2023, 14, 1123582. [Google Scholar] [CrossRef] [PubMed]
- Wang, L. The Structure and Comparative Advantages of China’s Scientific Research: Quantitative and Qualitative Perspectives. Scientometrics 2016, 106, 435–452. [Google Scholar] [CrossRef]
- Liu, W.; Hu, G.; Tang, L.; Wang, Y. China’s Global Growth in Social Science Research: Uncovering Evidence from Bibliometric Analyses of SSCI Publications (1978–2013). J. Informetr. 2015, 9, 555–569. [Google Scholar] [CrossRef]
- Xu, X.; Rose, H.; Oancea, A. Incentivising International Publications: Institutional Policymaking in Chinese Higher Education. Stud. High. Educ. 2021, 46, 1132–1145. [Google Scholar] [CrossRef]
- Liu, G.; Luo, Q.F.; Zhang, L.X. The Development of Animal Husbandry For 40 Years of Reform and Opening-Up: Achievements, Challenges and Countermeasures. Chin. Rural. Econ. 2018, 408, 19–36. [Google Scholar]
- Bao, J. The Current State of Development of the Animal Welfare Discipline. J. Domest. Anim. Ecol. 1997, 1, 57–62. [Google Scholar]
- Wang, M.L. China’s Livestock Industry Development: Achievements, Experiences and Future Trends. Issues Agric. Econ. 2018, 464, 60–70. [Google Scholar] [CrossRef]
- Bao, J.; Li, Y. China Perspective: Emerging Interest in Animal Behaviour and Welfare Science. In Animals and Us: 50 Years and More of Applied Ethology; Brown, J., Seddon, Y., Appleby, M., Eds.; Wageningen Academic Publishers: Wageningen, The Netherlands, 2016; pp. 241–252. [Google Scholar] [CrossRef]
- Zang, Q.; Zhao, Y.J.; Li, B.M.; Shi, Z.X.; Han, J. Behavioral Variations among Three Developmental Stages of Small-Tailed Sheep in a Summer Free-Range Environment. Zool. Res. 2005, 26, 279–286. [Google Scholar] [CrossRef]
- Zhao, Y.J.; Zhao, Y.; Shi, Z.X.; Li, B.M. Feather Pecking of Broiler Laying Hens in Light Versus Dark Regions in Shade Battery Cages. J. China Agric. Univ. 2006, 11, 13–17. [Google Scholar] [CrossRef]
- Zhou, D.L.; Li, B.M.; Shi, Z.X. Body Weight Loss of the Weaned Piglets during Transporting. Chin. J. Anim. Sci. 2007, 43, 56–58. [Google Scholar] [CrossRef]
- Tang, L. The Impact on International Trade of Animal’s Welfare and Our Countermeasure. Inq. Into Econ. Issues 2005, 7, 44–47. [Google Scholar] [CrossRef]
- Hu, J.Y. Impact of “Animal Welfare” on China’s Agricultural Output and Countermeasure. Ecol. Econ. 2006, 2, 113–116. [Google Scholar] [CrossRef]
- Xi, L.; Zhou, D.L.; Shi, Z.X.; Li, B.M. Strategy on the Pig Welfare Problem of Raising Environment and Safe Pork Production. Chin. J. Anim. Sci. 2006, 42, 26–28. [Google Scholar] [CrossRef]
- Li, K.J. A Pilot Study on Farm Animal Welfare Issues and Response Strategies. Chin. J. Anim. Sci. 2005, 41, 52–54. [Google Scholar] [CrossRef]
- Chang, J.W. The Independence of Animal Welfare Law from the Perspective of EU Legislation. Glob. Law Rev. 2006, 28, 343–354. [Google Scholar] [CrossRef]
- Xu, Y.C.; Tian, Y.W.; Zhu, B.J.; Wang, L.Y. On the Necessity and Feasibility of Legislation Against Animal Cruelty in China. Truth Seek. 2006, 27, 103–104. [Google Scholar] [CrossRef]
- Chen, Q.H.; Zhang, Y.Y. Evolution of Carbon Reduction Policies for Animal Husbandry: An Analysis Based on 452 Policies. J. Huazhong Agric. Univ. (Soc. Sci. Ed.) 2022, 157, 10–23. [Google Scholar] [CrossRef]
- Yan, H.Q.; Guo, X. The Fusion of Science and Ethic: The Rise of Animal Welfare Science. J. Dialectics Nat. 2017, 39, 76–83. [Google Scholar] [CrossRef]
- Cui, L.H.; Li, C.X.; Bao, J.; Ma, C.P.; Jiang, B. Consumers’ Willingness to Pay for Farm Animal Welfare Products and Its Influencing Factors: Based on Animal Welfare Dairy Products. Res. Agric. Mod. 2021, 42, 724–734. [Google Scholar] [CrossRef]
- Yu, F.W.; Huang, X.; Wang, G.L. High-Quality Development of Animal Husbandry: Theoretical Interpretation and Realization Path. Chin. Rural. Econ. 2021, 436, 85–99. [Google Scholar]
- Gautret, M.; Messori, S.; Jestin, A.; Bagni, M.; Boissy, A. Development of a Semi-Automatic Bibliometric System for Publications on Animal Health and Welfare: A Methodological Study. Scientometrics 2017, 113, 803–823. [Google Scholar] [CrossRef]
- Rioja-Lang, F.C.; Connor, M.; Bacon, H.J.; Lawrence, A.B.; Dwyer, C.M. Prioritization of Farm Animal Welfare Issues Using Expert Consensus. Front. Vet. Sci. 2020, 6, 495. [Google Scholar] [CrossRef] [PubMed]
- Li, X.Z.; Yan, C.G.; Zan, L.S. Current Situation and Future Prospects for Beef Production in China—A Review. Asian-Australas. J. Anim. Sci. 2018, 31, 984–991. [Google Scholar] [CrossRef]
- Shi, R.; Shu, H.; Yu, R.; Wang, Y.; Zhang, Z.; Zhang, J.; Gu, X. Current Attitudes of Chinese Dairy Practitioners to Pain and Its Management in Intensively Raised Dairy Cattle. Animals 2022, 12, 3140. [Google Scholar] [CrossRef]
- Wang, J. Unpacking the Matthew Effect in Citations. J. Informetr. 2014, 8, 329–339. [Google Scholar] [CrossRef]
- Kirchner, M.K.; Kost’al, L.; Bilcik, B.; Winckler, C. Mapping Farm Animal Welfare Research in an Enlarged Europe: International Collaboration, Bibliometric Output, Research Resources and Relation to Economic Indices. Scientometrics 2017, 113, 909–922. [Google Scholar] [CrossRef]
- Liao, C.H. The Matthew Effect and the Halo Effect in Research Funding. J. Informetr. 2021, 15, 101108. [Google Scholar] [CrossRef]
- Mostafa, M.M. A Knowledge Domain Visualization Review of Thirty Years of Halal Food Research: Themes, Trends and Knowledge Structure. Trends Food Sci. Technol. 2020, 99, 660–677. [Google Scholar] [CrossRef]
- Vlegels, J.; Huisman, J. The Emergence of the Higher Education Research Field (1976–2018): Preferential Attachment, Smallworldness and Fragmentation in Its Collaboration Networks. High. Educ. 2021, 81, 1079–1095. [Google Scholar] [CrossRef]
- Jayantha, W.M.; Oladinrin, O.T. Bibliometric Analysis of Hedonic Price Model Using CiteSpace. Int. J. Hous. Mark. Anal. 2019, 13, 357–371. [Google Scholar] [CrossRef]
- Khalagi, K.; Mansourzadeh, M.J.; Aletaha, A.; Yarmohammadi, H.; Atlasi, R.; Banar, S.; Fahimfar, N.; Hajipour, F.; Sanjari, M.; Larijani, B.; et al. Co-Authorship Network Analysis of Iranian Researchers on Osteoporosis. Arch. Osteoporos. 2021, 16, 74. [Google Scholar] [CrossRef]
- Nan, M.; Chen, J. Research Progress, Hotspots and Trends of Land Use under the Background of Ecological Civilization in China: Visual Analysis Based on the CNKI Database. Sustainability 2023, 15, 249. [Google Scholar] [CrossRef]
- Yuan, X.; Lai, Y. Bibliometric and Visualized Analysis of Elite Controllers Based on CiteSpace: Landscapes, Hotspots, and Frontiers. Front. Cell. Infect. Microbiol. 2023, 13, 1147265. [Google Scholar] [CrossRef] [PubMed]
- Lv, J.; Wang, Z.Y.; Chen, X.Q. Analysis of Animal Welfare Research Hotspots Based on CNKI and WoS. J. Domest. Anim. Ecol. 2022, 43, 75–82. [Google Scholar] [CrossRef]
- Mu, C. A Multidimensional Contrastive Analysis of Linguistic Features between International and Local Biology Journal English Research Articles. Scientometrics 2021, 126, 7901–7916. [Google Scholar] [CrossRef]
- Mellor, D.J. Updating Animal Welfare Thinking: Moving beyond the “Five Freedoms” towards “A Life Worth Living”. Animals 2016, 6, 21. [Google Scholar] [CrossRef] [PubMed]
- Lu, J.; Bayne, K.; Wang, J. Current Status of Animal Welfare and Animal Rights in China. Altern. Lab. Anim. 2013, 41, 351–357. [Google Scholar] [CrossRef] [PubMed]
- Cao, D. Is the Concept of Animal Welfare Incompatible with Chinese Culture? Soc. Anim. 2022, 30, 284–296. [Google Scholar] [CrossRef]
- Tullo, E.; Fontana, I.; Diana, A.; Norton, T.; Berckmans, D.; Guarino, M. Application Note: Labelling, a Methodology to Develop Reliable Algorithm in PLF. Comput. Electron. Agric. 2017, 142, 424–428. [Google Scholar] [CrossRef]
- Li, N.; Ren, Z.; Li, D.; Zeng, L. Review: Automated Techniques for Monitoring the Behaviour and Welfare of Broilers and Laying Hens: Towards the Goal of Precision Livestock Farming. Animal 2020, 14, 617–625. [Google Scholar] [CrossRef] [PubMed]
- Blanco-Penedo, I.; Cantalapiedra, J.; Llonch, P. Climate Change Impacts on Animal Welfare in Livestock Systems. Inf. Tec. Econ. Agrar. 2020, 116, 424–443. [Google Scholar] [CrossRef]
- Jiang, M.; Rao, Y.; Zhang, J.; Shen, Y. Automatic Behavior Recognition of Group-Housed Goats Using Deep Learning. Comput. Electron. Agric. 2020, 177, 105706. [Google Scholar] [CrossRef]
- He, S.; Lin, J.; Jin, Q.; Ma, X.; Liu, Z.; Chen, H.; Ma, J.; Zhang, H.; Descovich, K.; Phillips, C.J.C.; et al. The Relationship between Animal Welfare and Farm Profitability in Cage and Free-Range Housing Systems for Laying Hens in China. Animals 2022, 12, 2090. [Google Scholar] [CrossRef]
Ranking | Non-Chinese-Language Literature | Chinese-Language Literature | ||||||
---|---|---|---|---|---|---|---|---|
Authors | Count | Centrality | Year * | Authors | Count | Centrality | Year | |
1 | Bao J | 47 | 0.01 | 2012 | Li BM | 17 | 0.00 | 2005 |
2 | Li X | 33 | 0.09 | 2013 | Shi ZX | 11 | 0.00 | 2005 |
3 | Li JH | 26 | 0.00 | 2013 | Gu XH | 9 | 0.00 | 1995 |
4 | Li BM | 23 | 0.05 | 2010 | Bao J | 8 | 0.00 | 2006 |
5 | Liu HG | 21 | 0.05 | 2014 | Shi BL | 7 | 0.00 | 2010 |
6 | Bi YJ | 13 | 0.00 | 2018 | Yan HQ | 7 | 0.00 | 2013 |
7 | Zhang RX | 13 | 0.00 | 2020 | Shao D | 6 | 0.00 | 2014 |
8 | Zheng WC | 8 | 0.00 | 2018 | Tong HB | 6 | 0.00 | 2014 |
9 | Wang CY | 8 | 0.08 | 2020 | Sun SM | 6 | 0.00 | 2008 |
10 | Wang C | 7 | 0.00 | 2018 | Geng AL | 6 | 0.00 | 2007 |
Literature Type | Ranking | Institutions | Count | Centrality | Year * |
---|---|---|---|---|---|
Non-Chinese-Language Literature | 1 | China Agricultural University | 120 | 0.36 | 2003 |
2 | Chinese Academy of Agricultural Sciences | 72 | 0.20 | 2011 | |
3 | Northeast Agricultural University | 68 | 0.08 | 2010 | |
4 | Nanjing Agricultural University | 61 | 0.13 | 2009 | |
5 | South China Agricultural University | 32 | 0.06 | 2016 | |
6 | Huazhong Agricultural University | 32 | 0.15 | 2010 | |
7 | Northwest Sci-Tech University of Agriculture and Forestry | 27 | 0.08 | 2013 | |
8 | Sichuan Agricultural University | 27 | 0.06 | 2002 | |
9 | Zhejiang University | 21 | 0.04 | 2014 | |
10 | Yangzhou University | 19 | 0.00 | 2014 | |
Chinese-Language Literature | 1 | China Agricultural University | 71 | 0.21 | 2005 |
2 | Chinese Academy of Agricultural Sciences | 70 | 0.14 | 1995 | |
3 | Nanjing Agricultural University | 25 | 0.05 | 2006 | |
4 | Inner Mongolia Agricultural University | 25 | 0.05 | 2006 | |
5 | Northeast Agricultural University | 21 | 0.06 | 2005 | |
6 | Henan Agricultural University | 17 | 0.06 | 2008 | |
7 | Shandong Agricultural University | 15 | 0.03 | 2008 | |
8 | Northwest Sci-Tech University of Agriculture and Forestry | 14 | 0.06 | 2005 | |
9 | Chinese Academy of Social Sciences | 14 | 0.03 | 2003 | |
10 | Yangzhou University | 12 | 0.01 | 2009 |
Literature Type | Ranking | Journals | Count | Proportion |
---|---|---|---|---|
Non-Chinese-Language Literature | 1 | Animals | 110 | 15.69% |
2 | Poultry Science | 57 | 8.13% | |
3 | Computers and Electronics in Agriculture | 47 | 6.70% | |
4 | Frontiers in Veterinary Science | 20 | 2.85% | |
5 | Animal | 18 | 2.57% | |
6 | Biosystems Engineering | 18 | 2.57% | |
7 | Journal of Animal Science | 14 | 2.00% | |
8 | PLoS One | 13 | 1.85% | |
9 | Applied Animal Behaviour Science | 12 | 1.71% | |
10 | Agriculture | 11 | 1.57% | |
Chinese-Language Literature | 1 | China Poultry | 71 | 11.62% |
2 | Heilongjiang Animal Science and Veterinary | 68 | 11.13% | |
3 | Chinese Journal of Animal Science | 47 | 7.69% | |
4 | Journal of Domestic Animal Ecology | 38 | 6.22% | |
5 | Transactions of the Chinese Society of Agricultural Engineering | 23 | 3.76% | |
6 | Animal Husbandry and Veterinary Medicine | 22 | 3.60% | |
7 | China Animal Husbandry and Veterinary Medicine | 21 | 3.44% | |
8 | Chinese Journal of Animal Nutrition | 15 | 2.45% | |
9 | Chinese Journal of Animal and Veterinary Sciences | 14 | 2.29% | |
10 | Feed Industry Magazine | 12 | 1.96% |
Literature Type | Ranking | Keywords | Count | Centrality | Year * |
---|---|---|---|---|---|
Non-Chinese-Language Literature | 1 | Welfare | 145 | 0.11 | 2012 |
2 | Behavior | 99 | 0.12 | 2010 | |
3 | Performance | 98 | 0.17 | 2009 | |
4 | Animal welfare | 89 | 0.23 | 2009 | |
5 | Growth performance | 76 | 0.05 | 2014 | |
6 | Meat quality | 61 | 0.15 | 2009 | |
7 | Laying hen | 55 | 0.09 | 2012 | |
8 | Expression | 52 | 0.13 | 2011 | |
9 | Responses | 50 | 0.06 | 2012 | |
10 | Stress | 48 | 0.09 | 2011 | |
Chinese-Language Literature | 1 | Animal welfare | 202 | 0.89 | 2002 |
2 | Welfare | 37 | 0.09 | 2006 | |
3 | Laying hen | 24 | 0.05 | 2008 | |
4 | Healthy breeding | 21 | 0.04 | 2006 | |
5 | Behavior | 21 | 0.05 | 2011 | |
6 | Production performance | 20 | 0.09 | 2009 | |
7 | Animal protection | 16 | 0.02 | 2003 | |
8 | Animal | 15 | 0.06 | 2008 | |
9 | Broiler chicken | 14 | 0.03 | 2013 | |
10 | Animal rights | 14 | 0.01 | 2002 |
Literature Type | Cluster | Label (LLR, p-Value) | Size | Silhouette Value | Mean (Year) * |
---|---|---|---|---|---|
Non-Chinese-Language Literature | #0 deep learning | ① Deep learning (69.47, <0.001); ② Computer vision (40.61, <0.001); ③ Precision livestock farming (18.40, <0.001); ④ Lameness detection (17.09, <0.001); ⑤ Dairy cattle (14.96, 0.001). | 67 | 0.832 | 2019 |
#1 stereotypic behavior | ① Stereotypic behavior (14.44, 0.001); ② Physiology (14.44, 0.001); ③ Growing pigs (10.82, 0.005); ④ Enriched environment (10.82, 0.005); ⑤ Pig (9.50, 0.005). | 60 | 0.802 | 2014 | |
#2 heat stress | ① Heat stress (14.42, 0.001); ② Gut microbiota (12.49, 0.001); ③ Dairy cow (12.16, 0.001); ④ Rumen fermentation (11.51, 0.001); ⑤ Buffalo (8.10, 0.005). | 53 | 0.814 | 2019 | |
#3 quantitative trait loci | ① Quantitative trait loci (20.46, <0.001); ② Swine (15.33, <0.001); ③ Candidate gene (15.33, <0.001); ④ Single-nucleotide polymorphism (10.21, 0.005); ⑤ Perch (10.21, 0.005). | 51 | 0.858 | 2014 | |
#4 animal welfare | ① Animal welfare (29.46, <0.001); ② Willingness to pay (26.24, <0.001); ③ Choice experiment (20.97, <0.001); ④ China (11.36, 0.001); ⑤ Pork (10.46, 0.005). | 50 | 0.824 | 2014 | |
Chinese-Language Literature | #0 animal welfare | ① Animal welfare (41.56, <0.001); ② Legislation (14.03, 0.001); ③ Welfare (9.04, 0.005); ④ Production performance (7.52, 0.010); ⑤ Willingness to pay (6.99, 0.010). | 79 | 0.979 | 2011 |
#1 laying hen | ① Laying hen (26.52, <0.001); ② Welfare-friendly breeding (26.52, <0.001); ③ Healthy breeding (26.52, <0.001); ④ Poultry (17.60, <0.001); ⑤ Image processing (13.17, 0.001). | 46 | 0.899 | 2015 | |
#2 behavior | ① Behavior (37.90, <0.001); ② Growth performance (18.76, <0.001); ③ Beef cattle (11.51, 0.001); ④ Stocking density (9.73, 0.005); ⑤ Straw (9.33, 0.005). | 42 | 0.870 | 2015 | |
#3 production performance | ① Production performance (34.19, <0.001); ② Welfare (27.62, <0.001); ③ Sow (22.27, <0.001); ④ Light intensity (13.30, 0.001); ⑤ Animal welfare (13.24, 0.001). | 39 | 0.960 | 2012 | |
#4 animal | ① Animal (23.63, <0.001); ② Dairy cow (17.23, <0.001); ③ Sensor (11.44, 0.001); ④ Heat stress (7.74, 0.010); ⑤ Information monitoring (5.70, 0.050). | 27 | 0.930 | 2014 |
Literature Type | Keywords | Year 1 | Strength | Begin 2 | End 3 | Temporal Distribution 4 |
---|---|---|---|---|---|---|
Non-Chinese-Language Literature | Meat quality | 2009 | 3.59 | 2012 | 2015 | ▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂ |
Group size | 2012 | 2.60 | 2012 | 2017 | ▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂ | |
Carcass yield | 2012 | 2.55 | 2012 | 2018 | ▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂ | |
Stocking density | 2013 | 4.64 | 2013 | 2015 | ▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂ | |
Performance | 2009 | 5.13 | 2016 | 2017 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂▂▂▂ | |
Intensity | 2016 | 3.10 | 2016 | 2018 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂▂▂ | |
Identification | 2010 | 2.60 | 2016 | 2017 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂▂▂▂ | |
Broiler chickens | 2012 | 5.18 | 2017 | 2019 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂▂ | |
Systems | 2017 | 2.62 | 2017 | 2018 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂▂▂ | |
Mortality | 2018 | 3.55 | 2018 | 2020 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂ | |
Tibial dyschondroplasia | 2018 | 3.53 | 2018 | 2019 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂▂ | |
Piglets | 2008 | 3.23 | 2018 | 2020 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂ | |
Indicators | 2019 | 2.85 | 2019 | 2020 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂ | |
Exposure | 2019 | 2.85 | 2019 | 2020 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂ | |
Milk | 2019 | 2.69 | 2019 | 2020 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂ | |
Computer vision | 2020 | 3.69 | 2020 | 2023 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ | |
Recognition | 2020 | 3.69 | 2020 | 2023 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ | |
Dairy cattle | 2020 | 2.61 | 2020 | 2021 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂ | |
Temperature | 2019 | 4.27 | 2021 | 2023 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ | |
Precision livestock farming | 2021 | 3.71 | 2021 | 2023 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ | |
Chinese-Language Literature | International trade | 2003 | 2.19 | 2003 | 2010 | ▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂▂ |
Trade barrier | 2004 | 4.13 | 2004 | 2010 | ▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂▂ | |
Livestock products | 2004 | 1.95 | 2004 | 2008 | ▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ | |
Countermeasure | 2005 | 3.77 | 2005 | 2008 | ▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ | |
Animal husbandry | 2005 | 2.30 | 2005 | 2009 | ▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂▂▂ | |
Legislation | 2004 | 2.14 | 2008 | 2010 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂▂ | |
Supply chain | 2008 | 1.97 | 2008 | 2011 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂ | |
Animal protection | 2005 | 2.00 | 2010 | 2011 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂▂▂▂▂▂▂▂▂▂ | |
Healthy breeding | 2006 | 2.70 | 2012 | 2015 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂▂▂ | |
Broiler chicken | 2013 | 2.43 | 2013 | 2017 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂▂▂ | |
Welfare-friendly animal production | 2015 | 4.06 | 2015 | 2019 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂ | |
Stocking density | 2015 | 3.65 | 2015 | 2019 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▂▂▂▂ | |
Laying hen | 2008 | 3.23 | 2015 | 2023 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ | |
Animal | 2008 | 2.62 | 2015 | 2018 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▂▂▂▂▂ | |
Sow | 2011 | 2.05 | 2016 | 2018 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂▂▂▂ | |
Influencing factor | 2009 | 2.38 | 2017 | 2021 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▂▂ | |
Production performance | 2009 | 2.37 | 2017 | 2020 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▂▂▂ | |
Behavior | 2011 | 4.16 | 2018 | 2023 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▄ ▄ ▄ | |
Stress | 2011 | 2.46 | 2018 | 2019 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▂▂▂▂ | |
Dairy cow | 2011 | 3.72 | 2019 | 2021 | ▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ ▄ ▄ ▄ ▂▂ |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Cui, L.; Tang, W.; Deng, X.; Jiang, B. Farm Animal Welfare Is a Field of Interest in China: A Bibliometric Analysis Based on CiteSpace. Animals 2023, 13, 3143. https://doi.org/10.3390/ani13193143
Cui L, Tang W, Deng X, Jiang B. Farm Animal Welfare Is a Field of Interest in China: A Bibliometric Analysis Based on CiteSpace. Animals. 2023; 13(19):3143. https://doi.org/10.3390/ani13193143
Chicago/Turabian StyleCui, Lihang, Wenjie Tang, Xiaoshang Deng, and Bing Jiang. 2023. "Farm Animal Welfare Is a Field of Interest in China: A Bibliometric Analysis Based on CiteSpace" Animals 13, no. 19: 3143. https://doi.org/10.3390/ani13193143