Published on in Vol 3, No 3 (2015): Jul-Sep

Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users

Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users

Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users

Authors of this article:

Illhoi Yoo1, 2 Author Orcid Image ;   Abu Saleh Mohammad Mosa2, 3 Author Orcid Image

Journals

  1. Okhovati M, Sharifpoor E, Aazami M, Zolala F, Hamzehzadeh M. Novice and experienced users’ search performance and satisfaction with Web of Science and Scopus. Journal of Librarianship and Information Science 2017;49(4):359 View
  2. Lewis S, Damarell R, Tieman J, Trenerry C. Finding the Integrated Care Evidence Base in PubMed and Beyond: A Bibliometric Study of the Challenges. International Journal of Integrated Care 2018;18(3) View
  3. Zadro J, Moseley A, Elkins M, Maher C. PEDro searching has improved over time: A comparison of search commands from two six-month periods three years apart. International Journal of Medical Informatics 2019;121:1 View
  4. Russell-Rose T, Chamberlain J. Expert Search Strategies: The Information Retrieval Practices of Healthcare Information Professionals. JMIR Medical Informatics 2017;5(4):e33 View
  5. Sesagiri Raamkumar A, Foo S, Pang N. Using author-specified keywords in building an initial reading list of research papers in scientific paper retrieval and recommender systems. Information Processing & Management 2017;53(3):577 View
  6. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  7. Liu Y, Wacholder N. Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers. Information Processing & Management 2017;53(4):851 View
  8. van der Vegt A, Zuccon G, Koopman B, Deacon A. Impact of a Search Engine on Clinical Decisions Under Time and System Effectiveness Constraints: Research Protocol. JMIR Research Protocols 2019;8(5):e12803 View
  9. Almeida H, Jean‐Louis L, Meurs M. An open source and modular search engine for biomedical literature retrieval. Computational Intelligence 2018;34(1):200 View
  10. Doherty C, Joorabchi A, Megyesi P, Flynn A, Caulfield B. Physiotherapists’ Use of Web-Based Information Resources to Fulfill Their Information Needs During a Theoretical Examination: Randomized Crossover Trial. Journal of Medical Internet Research 2020;22(12):e19747 View
  11. Mutabazi E, Ni J, Tang G, Cao W. A Review on Medical Textual Question Answering Systems Based on Deep Learning Approaches. Applied Sciences 2021;11(12):5456 View
  12. Lugo-Machado J, López-López R, Medina-Valentón E, Villa E. The Impact Factor in scientific journals. Romanian Journal of Rhinology 2022;12(46):49 View
  13. Espinoza-Silva P, López-Lázaro S, Fonseca G. Forensic odontology and dental age estimation research: a scoping review a decade after the NAS report on strengthening forensic science. Forensic Science, Medicine and Pathology 2022;19(2):224 View
  14. MacFarlane A, Russell-Rose T, Shokraneh F. Search strategy formulation for systematic reviews: Issues, challenges and opportunities. Intelligent Systems with Applications 2022;15:200091 View
  15. Rodríguez-Niklitschek C, Oporto G, Chuhuaicura P, Alemán I, Fonseca G. Cameriere’s open apices methodology for dental age estimation in children: a scoping review from a Latin American perspective. Forensic Science, Medicine and Pathology 2023 View

Books/Policy Documents

  1. Almeida H, Jean-Louis L, Meurs M. Advances in Artificial Intelligence. View
  2. España-Bonet C, Stiller J, Ramthun R, van Genabith J, Petras V. Metadata and Semantic Research. View