Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing
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| Format: | Artículo científico |
| Language: | en |
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Universidad de Antioquia
2024
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| _version_ | 1876475692438257664 |
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| author | Andrés Guzmán Henao |
| author_facet | Andrés Guzmán Henao |
| contents | Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing Andrés Guzmán Henao Medicina academic impact bibliometric metrics social network analysis scientific collaboration natural language processing Objectives. This work sought to identify the academic communities that have shown interest and participation in the Journal Research and Education in Nursing and analyze the scientific impact generated by said journal. Methods. A bibliometric analysis was carried out, as well as social network analysis and techniques of natural language processing to conduct the research. The data was gathered and analyzed during a specific study period, covering from 2010 - 2020, for articles published in the journal, and 2010 - 2022, for articles that cited the journal within Scopus. These methods permitted performing an exhaustive evaluation of the journal’s influence and reach in diverse academic and geographic contexts. Results. During the analysis, it was noted that the journal Research and Education in Nursing has had significant influence in academic and scientific communities, both nationally and internationally. Collaboration networks were detected among diverse institutions and countries, which indicates active interaction in the field of nursing research. In addition, trends and emerging patterns were identified in this field, providing a more complete view of the discipline’s evolution. Conclusion. Based on the results obtained, it is concluded that the journal Research and Education in Nursing has played un fundamental role in disseminating knowledge and promoting research in nursing. The combination of Bibliometric metrics, social network analysis, and natural language processing permitted utmost comprehension of its impact in the scientific and academic community globally. 2024 artículo científico 0120-5307 https://www.redalyc.org/articulo.oa?id=105278702012 https://www.redalyc.org/journal/1052/105278702012/ https://www.redalyc.org/journal/1052/105278702012/html/ https://www.redalyc.org/journal/1052/105278702012/105278702012.epub https://www.redalyc.org/journal/1052/105278702012/movil 10.17533/udea.iee.v42n2e12 en http://www.redalyc.org/revista.oa?id=1052 Investigación y Educación en Enfermería application/pdf Universidad de Antioquia Investigación y Educación en Enfermería (Colombia) Num.2 Vol.42 |
| format | Artículo científico |
| id | redalyc_105278702012 |
| institution | Redalyc |
| language | en |
| publishDate | 2024 |
| publisher | Universidad de Antioquia |
| spellingShingle | Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing Andrés Guzmán Henao Medicina academic impact bibliometric metrics social network analysis scientific collaboration natural language processing Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing Andrés Guzmán Henao Medicina academic impact bibliometric metrics social network analysis scientific collaboration natural language processing Objectives. This work sought to identify the academic communities that have shown interest and participation in the Journal Research and Education in Nursing and analyze the scientific impact generated by said journal. Methods. A bibliometric analysis was carried out, as well as social network analysis and techniques of natural language processing to conduct the research. The data was gathered and analyzed during a specific study period, covering from 2010 - 2020, for articles published in the journal, and 2010 - 2022, for articles that cited the journal within Scopus. These methods permitted performing an exhaustive evaluation of the journal’s influence and reach in diverse academic and geographic contexts. Results. During the analysis, it was noted that the journal Research and Education in Nursing has had significant influence in academic and scientific communities, both nationally and internationally. Collaboration networks were detected among diverse institutions and countries, which indicates active interaction in the field of nursing research. In addition, trends and emerging patterns were identified in this field, providing a more complete view of the discipline’s evolution. Conclusion. Based on the results obtained, it is concluded that the journal Research and Education in Nursing has played un fundamental role in disseminating knowledge and promoting research in nursing. The combination of Bibliometric metrics, social network analysis, and natural language processing permitted utmost comprehension of its impact in the scientific and academic community globally. 2024 artículo científico 0120-5307 https://www.redalyc.org/articulo.oa?id=105278702012 https://www.redalyc.org/journal/1052/105278702012/ https://www.redalyc.org/journal/1052/105278702012/html/ https://www.redalyc.org/journal/1052/105278702012/105278702012.epub https://www.redalyc.org/journal/1052/105278702012/movil 10.17533/udea.iee.v42n2e12 en http://www.redalyc.org/revista.oa?id=1052 Investigación y Educación en Enfermería application/pdf Universidad de Antioquia Investigación y Educación en Enfermería (Colombia) Num.2 Vol.42 |
| title | Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing |
| topic | Medicina academic impact bibliometric metrics social network analysis scientific collaboration natural language processing |
| url | https://www.redalyc.org/articulo.oa?id=105278702012 https://www.redalyc.org/journal/1052/105278702012/ https://www.redalyc.org/journal/1052/105278702012/html/ https://www.redalyc.org/journal/1052/105278702012/105278702012.epub https://www.redalyc.org/journal/1052/105278702012/movil |