MarionHersh$7130538485 Mathematical modelling for sustainable development 2006 E.V.Bernstam J.R.Herskovic Y.Aphinyanaphongs C.F.Aliferis M.G.Sriram W.R.Hersh Using citation data to improve retrieval from MEDLINE Journal of the American Medical Informatics Association : JAMIA 13 96-105 2006 OBJECTIVE: To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of important literature in surgical oncology. RESULTS Citation-based algorithms were more effective than noncitation-based algorithms at identifying important articles. The most effective strategies were simple citation count and PageRank, which on average identified over six important articles in the first 100 results compared to 0.85 for the best noncitation-based algorithm (p < 0.001). The authors saw similar differences between citation-based and noncitation-based algorithms at 10, 20, 50, 200, 500, and 1,000 results (p < 0.001). Citation lag affects performance of PageRank more than simple citation count. However, in spite of citation lag, citation-based algorithms remain more effective than noncitation-based algorithms. CONCLUSION Algorithms that have proved successful on the World Wide Web can be applied to biomedical information retrieval. Citation-based algorithms can help identify important articles within large sets of relevant results. Further studies are needed to determine whether citation-based algorithms can effectively meet actual user information needs. MarionA.Hersh BarbaraLeporini Making Conference CDs Accessible: A Practical Example. Springer 5105 326-333 2008 WilliamHersh ChrisBuckley T.J.Leone DavidHickam OHSUMED: an interactive retrieval evaluation and new large test collection for research Springer-Verlag New York, Inc. 192–201 1994 WilliamR.Hersh JanVelterop AlexaT.McCray GuntherEysenbach MarkBoguski Overcoming impediments to effective health and biomedical digital libraries. ACM 360 2002 JohannesDragsbaekSchmidt JacquesHersh Globalization and social change 2000 HershShefrin*1948-* A behavioral approach to asset pricing 2005 HershShefrin Behavioral decision making, forecasting, game theory, and role-play International Journal of Forecasting 18 375–382 2002 HershM.Shefrin MeirStatman Explaining investor preference for cash dividends Journal of Financial Economics 13 253–282 1984 Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ACM Press 1997