-
Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014)
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- Date
- 22. 8.2014 17:12:35
-
Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014)
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- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014)
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- Date
- 22. 8.2014 16:52:04
-
Tang, X.-B.; Liu, G.-C.; Yang, J.; Wei, W.: Knowledge-based financial statement fraud detection system : based on an ontology and a decision tree (2018)
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- Date
- 21. 6.2018 10:22:43
-
Tang, X.; Chen, L.; Cui, J.; Wei, B.: Knowledge representation learning with entity descriptions, hierarchical types, and textual relations (2019)
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- Date
- 17. 3.2019 13:22:53
-
Atran, S.; Medin, D.L.; Ross, N.: Evolution and devolution of knowledge : a tale of two biologies (2004)
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- Content
- Vgl.: https://www.researchgate.net/publication/5090125_Evolution_and_Devolution_of_Knowledge_A_Tale_of_Two_Biologies. Vgl. auch: 10.1111/j.1467-9655.2004.00195.x.
- Date
- 23. 1.2022 10:22:18
-
Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023)
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- Date
- 22. 1.2023 18:53:32
-
Zhang, X.; Wang, D.; Tang, Y.; Xiao, Q.: How question type influences knowledge withholding in social Q&A community (2023)
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- Date
- 22. 9.2023 13:51:47
-
Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015)
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- Date
- 20. 1.2015 18:30:22
17. 9.2018 18:22:23
-
Gu, X.; Blackmore, K.L.: Developing a scholar classification scheme from publication patterns in academic science : a cluster analysis approach (2019)
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- Abstract
- The impact of university rankings has driven scholars to increase productivity, and expanding collaboration has dramatically changed the publishing patterns in the academic publication system. The aim of this study was to develop a scholar classification scheme from publication patterns in academic science. Classification schemes are ways of describing groups that display different clusters of behaviors, approaches, or perspectives, and useful in the development of typologies. In this research, sample data are selected from three representative universities, considered a leading university, a middle-tier university, and a noncomprehensive university. A final set of 11,427 effective scholars and their 284,128 journal publication records were used to develop the classification scheme via cluster analysis. The results identify six types of scholars, labeled as: singleton (8%), small-team low performer (16%), small-team high performer (17%), big-team strategist (22%), free-style follower (21%), and life-time warrior (17%). These six scholar types demonstrate different approaches to publishing that can be used to understand both individual and research team performance across different institutional settings. Additionally, possible future work was identified that uses the scholar classification scheme to define the behavior for agents in an agent-based model to simulate the strategic-behavior-driven academic publication system.
- Date
- 8.10.2019 19:18:22
-
Lomax, E.C.; Lowe, H.J.; Logan, T.F.; Detlefsen, E.G.: ¬An investigation of the information seeking behavior of medical oncologists in Metropolitan Pittsburgh using a multi-method approach (1999)
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- Abstract
- Cancer is second only to heart disease as a leading cause of non-accidental death in the United States, accounting for 23% of all deaths in 1993 (Thomas 1992). The information required to support clinical decision-making related to the diagnosis, therapy, and treatment of cancer is derived from a wide range of sources including imaging modalities such as CT scans, X-ray, and MRI. As a multi-disciplinary area in medicine, medical oncology has unique information needs. Medical oncologists must be familiar with the diagnostic tools of the pathologist, radiologist, pharmacist and, increasingly, the molecular biologist. In addition, patients with cancer may be managed by several physicians with varied areas of medical expertise and clinical perspectives on the patient's problem. As a result, the medical oncologist often is required to interact with other medical specialists in the course of caring for the cancer patient. The multiplicity of diagnostic and therapeutic options including imaging technologies, requires the oncologist to be actively involved in both the seeking and dissemination of information. An additional compounding factor in this regard is that the oncologist in the academic medical center setting is often involved in research as well as in patient care.
- Date
- 22. 3.2002 9:40:39
-
Wu, Y.-f.B.; Li, Q.; Bot, R.S.; Chen, X.: Finding nuggets in documents : a machine learning approach (2006)
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- Date
- 22. 7.2006 17:25:48
-
Chau, M.; Lu, Y.; Fang, X.; Yang, C.C.: Characteristics of character usage in Chinese Web searching (2009)
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- Date
- 22.11.2008 17:57:22
-
Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008)
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- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Yuan, X. (J.); Belkin, N.J.: Applying an information-seeking dialogue model in an interactive information retrieval system (2014)
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- Date
- 6. 4.2015 19:22:59
-
Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015)
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Niu, X.; Kelly, D.: ¬The use of query suggestions during information search (2014)
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Zhou, D.; Lawless, S.; Wu, X.; Zhao, W.; Liu, J.: ¬A study of user profile representation for personalized cross-language information retrieval (2016)
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Wu, Z.; Li, R.; Zhou, Z.; Guo, J.; Jiang, J.; Su, X.: ¬A user sensitive subject protection approach for book search service (2020)
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- Date
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