Using Citation Context to Improve the Retrieval of Research Article from Cancer Research Journals
Asian Pac J Cancer Prev
; 20(3): 951-960, 2019 Mar 26.
Article
en En
| MEDLINE
| ID: mdl-30912420
Objective: In recent years, citation analysis tools provide many devices for finding or computing the citation score or impact factor for journals. It is important for the researchers to identify good journals for collecting research ideas discussed. A journal with a good impact factor value is preferably referred to by many researchers. In this research work, the author proposes a system for ranking journals on the basis of ideas and results cited in other papers. Methods: The work involves the cited content extractor for extracting the descriptive features mentioned about the cited paper. The cited content refers to the content in the article written by a citing paper and relating to the cited paper. The ranking system uses a citation score estimator for computing the overall weight of the descriptive cited content relating to a specific paper in the citing papers. The journal ranking system performs classification of the citation content with the evaluation of a citation score. The work that involves the citation content is classified under different categories as positively cited, negatively cited or neutral and unrelated. Results: Then the computed citation score is used for ranking the dealing with research on cancer research journals. The results of the ranking journals indicate that the particular ranked journal has been cited in the literature of many journals with a good descriptive content. Journal ranking system can be considered as a well-organized tool for ranking the cancer research scientific journal based on citation content and citation counting. Conclusion: This experimental cancer journal ranking method increases accuracy and effectiveness by using the citation content when compared with PageRank and HITS.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Publicaciones Periódicas como Asunto
/
Algoritmos
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Sistemas de Administración de Bases de Datos
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Almacenamiento y Recuperación de la Información
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Investigación Biomédica
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Minería de Datos
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Neoplasias
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Asian Pac J Cancer Prev
Asunto de la revista:
NEOPLASIAS
Año:
2019
Tipo del documento:
Article
Pais de publicación:
Tailandia