Published on in Vol 1, No 1 (1999):

Rating Health Web sites using the principles of Citation Analysis: A Bibliometric Approach

Rating Health Web sites using the principles of Citation Analysis: A Bibliometric Approach

Rating Health Web sites using the principles of Citation Analysis: A Bibliometric Approach

Authors of this article:

Lei Cui

Journals

  1. Bhavnani S. Why is it difficult to find comprehensive information? Implications of information scatter for search and design. Journal of the American Society for Information Science and Technology 2005;56(9):989 View
  2. Spreckelsen C, Deserno T, Spitzer K. Visibility of medical informatics regarding bibliometric indices and databases. BMC Medical Informatics and Decision Making 2011;11(1) View
  3. Thelwall M. Conceptualizing documentation on the Web: An evaluation of different heuristic‐based models for counting links between university Web sites. Journal of the American Society for Information Science and Technology 2002;53(12):995 View
  4. Thelwall M. Evidence for the existence of geographic trends in university Web site interlinking. Journal of Documentation 2002;58(5):563 View
  5. Wilkinson D, Thelwall M. Researching Personal Information on the Public Web. Social Science Computer Review 2011;29(4):387 View
  6. Childs S. Judging the quality of internet‐based health information. Performance Measurement and Metrics 2005;6(2):80 View
  7. Zhao D, Strotmann A. Analysis and Visualization of Citation Networks. Synthesis Lectures on Information Concepts, Retrieval, and Services 2015;7(1):1 View
  8. Torous J. Beyond the Impact Factor: Reflecting on Twenty Years of Leading Efforts in Research, Innovation in Publishing, and Investment in People. Journal of Medical Internet Research 2019;21(10):e16390 View
  9. Pancheshnikov Y. A Comparison of Literature Citations in Faculty Publications and Student Theses as Indicators of Collection Use and a Background for Collection Management at a University Library. The Journal of Academic Librarianship 2007;33(6):674 View
  10. Park H, Thelwall M. Hyperlink Analyses of the World Wide Web: A Review. Journal of Computer-Mediated Communication 2006;8(4):0 View
  11. Faba-Pérez C, Cordero-González A. The validity of Bradford’s Law in academic electronic mailing lists. The Electronic Library 2015;33(6):1031 View
  12. Faba‐Pérez C, Guerrero‐Bote V, Moya‐Anegón F. “Sitation” distributions and Bradford's law in a closed Web space. Journal of Documentation 2003;59(5):558 View
  13. Wilkinson D, Thelwall M, Li X. Exploiting Hyperlinks to Study Academic Web Use. Social Science Computer Review 2003;21(3):340 View
  14. Kulakli A, Shubina I. Scientific Publication Patterns of Mobile Technologies and Apps for Posttraumatic Stress Disorder Treatment: Bibliometric Co-Word Analysis. JMIR mHealth and uHealth 2020;8(11):e19391 View
  15. Shubina I. Scientific Publication Patterns of Systematic Reviews on Psychosocial Interventions Improving Well-being: Bibliometric Analysis. Interactive Journal of Medical Research 2022;11(2):e41456 View
  16. He L, Wang X, Li C, Wan Y, Fang H. Bibliometric analysis of the 100 top-cited articles on immunotherapy of urological cancer. Human Vaccines & Immunotherapeutics 2022;18(1) View
  17. Mur B, Južnič P. Webometrics, what’s there important for our profession?. Knjižnica: revija za področje bibliotekarstva in informacijske znanosti 2013;50(1-2) View
  18. Zhou Y, Liu M, Huang X, Liu Z, Sun Y, Wang M, Huang T, Wang X, Chen L, Jiang X. Emerging trends and thematic evolution of immunotherapy for glioma based on the top 100 cited articles. Frontiers in Oncology 2024;13 View

Books/Policy Documents

  1. Ingwersen P, Björneborn L. Handbook of Quantitative Science and Technology Research. View
  2. Thelwall M. Link Analysis: An Information Science Approach. View