Personal Research Database Bibliometric



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Title: Work & Stress


Full Journal Title: Work & Stress

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: Impact Factor

Jolibois, S., Mouzé-Amady, M., Chouanière, D., Grandjean, F., Nauer, E. and Ducloy, J. (2000), WebStress: A web interface to explore a multidatabase bibliographic corpus on occupational stress. Work & Stress, 14 (4), 283-296.

Full Text: 2000\Wor Str14, 283.pdf

Abstract: A bibliographic study on a multidisciplinary subject, such as occupational stress, requires a multidatabase query facility. Given this, we searched eight databases belonging to different fields (medicine, psychology, etc.) and from different countries. Thus, more than 26000 references on occupational stress were gathered. A bibliographic corpus of this sort is unUSAble because of the heterogeneous format of the records and the number of duplicate entries. Considering the limitations of commercial programs, we have developed a system, called WebStress, for reformatting the data and removing duplicates. The huge number of references and the research needs of updating and searching have necessitated the addition of several other functions to WebStress. Therefore WebStress comprises a web interface that makes it possible to search the corpus with advanced features (using clustering, a specialized thesaurus on stress and Boolean queries). In addition to the usual bibliographic queries on a specific database such as MEDLINE, WebStress provides bibliometric analysis of the corpus, which might contribute to a detailed analysis on occupational stress in order to highlight the networks of researchers and to find the main topics studied in this area. WebStress is not yet available to researchers in general. It is being further developed, and also permission needs to be obtained from the eight commercial bibliographic databases that it consults.

Keywords: Occupational Stress Bibliographic Database Library Information Standards Reformatting Deduplication Interface Bibliometrics

Title: World Chinese Journal of Digestology


Full Journal Title: World Chinese Journal of Digestology

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? Wang, X.N. and L.C. (2006), Bibliometric analysis of literatures on relationship between Helicobacter pylori infection and gastric carcinogenesis. World Chinese Journal of Digestology, 14 (29), 2883-2888.

Full Text: 2006\Wor Chi J Dig14, 2883.pdf

Abstract: AIM:To present the research progress on the correlations between Helicobacter pylori infection and the risks of gastric cancer, and conclude the hot topics. METHODS:The international papers, published from 2001 to 2006 on this topic, were analyzed by the method of citation analysis, and then the highly-cited references were clustered by SPSS soft package. Based on the contents of the papers in each cluster, the hot-topic researches were concluded. RESULTS:Research literatures about the topic mainly come from the ...

Keywords: Helicobacterpylori, Gastric Cancer, Bibliometrics Analysis

Title: World-Class University and Ranking: Aiming Beyond Status, Higher Education for a Knowledge Society


Full Journal Title: World-Class University and Ranking: Aiming Beyond Status, Higher Education for a Knowledge Society

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? van Raan, A.F.J. (2007), Challenges in the ranking of universities. In World-Class University and Ranking: Aiming Beyond Status, Higher Education for a Knowledge Society, Edited by Sadlak, J. and Cai, L.N., 87-121.

Full Text: 2007\Hig Edu Kno Soc87.pdf

Keywords: Bibliometric Indicators, Science, Consequences, Performance, Coverage, Citation


Title: WCECS 2009: World Congress on Engineering and Computer Science


Full Journal Title: WCECS 2009: World Congress on Engineering and Computer Science

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? Gipp, B. and Beel, J. (2009), Identifying related documents for research paper recommender by CPA and COA, WCECS 2009: World Congress on Engineering and Computer Science, 1-2, 636-639.

Abstract: This work-in-progress paper introduces two new approaches called Citation Proximity Analysis (CPA) and Citation Order Analysis (COA). They can be applied to identify related documents for the purpose of research paper recommender systems. CPA is a variant of co-citation analysis that additionally considers the proximity of citations to each other within an article’s full-text. The underlying idea is that the closer citations are to each other in a document, the more likely it is that the cited documents are related. for example, citations listed in the same sentence are more likely to express related thoughts than citations listed only in the same section. In COA, the order of citations are considered, allowing the identification of a text similar to one that has been translated from language A to language B, as the citations would still occur in the same order. However, it is also shown that CPA and COA cannot replace text analysis and existing citation analysis approaches for research paper recommender systems since they all have their own strengths and weaknesses.

Keywords: Bibliometrics, Citation, Citation Analysis, Citation Order Analysis, Citation Proximity Analysis, Citations, Related Documents, Research, Research Paper Recommender, Science, World




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