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Research on Paper Influence Based on Citation Context: A Case Study of the Nobel Prize Winner's Paper
Received date: 2015-10-03
Revised date: 2015-12-02
Online published: 2015-12-20
[Purpose/significance] The citation frequency of a paper can only reflect its macro influence. It cannot reveal the specific role and impact of the cited paper in others' studies. Paper influence is analyzed from two aspects of the themes and the functions of the citation context.[Method/process] The citation contexts of a highly cited paper of O'Keefe, who won the 2014 Nobel Prize in physiology/medicine prize winners, are extracted as the experiment data set. First, the themes of citation context are analyzed with bibliometrics methods, and the influence fields are visualized. Second, the citation context is classified into three categories as positive, negative and neutral. And the neutral citations are also classified into three sub categories, related work in research background or introduction, theoretical foundation, and experimental foundation.[Result/conclusion] The results show that the co-occurrence method is very useful for describing the themes of citation contexts, and the classification of citation contexts can provide more information about how and why a paper is highly cited. There is no negative citation in this experiment, more than 10% citation contexts are positive citation, and about 50% of neutral ciations are related to background or introduction.
Liu Shengbo , Wang Bo , Tang Delong , Ma Xiang , Ding Kun . Research on Paper Influence Based on Citation Context: A Case Study of the Nobel Prize Winner's Paper[J]. Library and Information Service, 2015 , 59(24) : 109 -114 . DOI: 10.13266/j.issn.0252-3116.2015.24.016
[1] Van Noorden R, Maher B, Nuzzo R. The top 100 papers[J]. Nature, 2014,514(7524): 550-553.
[2] Ioannidis J P A, Boyack K W, Small H,et al. Bibliometrics: Is your most cited work your best?[J]. Nature, 2014,514(7524): 561-562.
[3] Small H. Citation context analysis[J]. Progress in Communication Sciences, 1982,3: 287-310.
[4] Nanba H, Okumura M. Towards multi-paper summarization using reference information[C]//International Joint Conference on Artificial Intelligence.New Jersey:Lawrence Erlbaum Associates LTD, 1999:926-931.
[5] Nanba H, Okumura M. Automatic detection of survey articles[M]. Berlin: Academic Press by Springer, 2005: 391-401.
[6] Mei Qiaozhu, Zhai Chengxiang. Generating impact-based summaries for scientific literature[C]//Proceedings of ACL-08. Ohio, 2008: 816-824.
[7] Mohammad S, Dorr B, Egan M, et al. Using citations to generate surveys of scientific paradigms[C]//Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics.Boulder: Association for Computational Linguistics, 2009:584-592.
[8] Liu Shengbo, Chen Chaomei. The differences between latent topics in abstracts and citation contexts of citing papers[J]. Journal of the American Society for Information Science and Technology, 2013,64(3): 627-639.
[9] Nakov P I, Schwartz A S, Hearst M. Citances: Citation sentences for semantic analysis of bioscience text[C]//Proceedings of the SIGIR'04 workshop on Search and Discovery in Bioinformatics. Sheffield: ACM, 2004:81-88.
[10] Anderson M H, Sun P Y. What have scholars retrieved from Walsh and Ungson (1991)? A citation context study[J]. Management Learning, 2010,41(2): 131-145.
[11] 王岚. 中文人文社会科学引用性质与引用深度研究[D]: 南京: 南京大学, 2009.
[12] 赵青. 文学学科引用性质与引用深度调查分析[J]. 情报杂志, 2010,29(10): 46-50.
[13] 陈晓丽. 引文评价中的引文方式与力度因素[J]. 图书馆, 2000(6): 43-45.
[14] Siddharthan A, Teufel S. Whose idea was this, and why does it matter? Attributing scientific work to citations[C]//Proceedings of NAACL/HLT-07.Rochester:NAACL, 2007: 316-323.
[15] Spiegel-Rösing I. Science studies: Bibliometric and content analysis[J]. Social Studies of Science, 1977,7(1): 97-113.
[16] Teufel S, Siddharthan A, Tidhar D. Automatic classification of citation function[C]//Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing.Sydney: Association for Computational Linguistics, 2006:103-110.
[17] Liu Shengbo, Chen Chaomei, Ding Kun, et al. Literature retrieval based on citation context[J]. Scientometrics, 2014, 101(2): 1293-1307.
[18] Toutanova K, Manning C D. Enriching the knowledge sources used in a maximum entropy part-of-speech tagger[C]//Proceedings of the 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora.Hong Kong: Association for Computational Linguistics, 2000:63-70.
[19] Wang Bo, Liu Shengbo, Ding Kun,et al. Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis: A case study in LTE technology[J]. Scientometrics, 2014,101(1): 685-704.
[20] Hofer K, Smejkal A, Bilgin F,et al. Conference proceedings as a matter of bibliometric studies: The academy of international business 2006-2008[J]. Scientometrics, 2010,84(3): 845-862.
[21] Lee K S, Croft W B, Allan J. A cluster-based resampling method for pseudo-relevance feedback[C]//Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Singapore:ACM, 2008: 235-242.
[22] Zhang Juan, Xie Jun, Hou Wanli,et al. Mapping the knowledge structure of research on patient adherence: Knowledge domain visualization based co-word analysis and social network analysis[J]. PLOS One, 2012,7(4): e34497.
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