title: Mapping the literature of clinical laboratory science.
abstract: This paper describes a citation analysis of the literature of clinical laboratory science (medical technology), conducted as part of a project of the Nursing and Allied Health Resources Section of the Medical Library Association. Three source journals widely read by those in the field were identified, from which cited references were collected for a three-year period. Analysis of the references showed that journals were the predominant format of literature cited and the majority of the references were from the last eleven years. Applying Bradford's Law of Scattering to the list of journals cited, three zones were created, each producing approximately one third of the cited references. Thirteen journals were in the first zone, eighty-one in the second, and 849 in the third. A similar list of journals cited was created for four specialty areas in the field: chemistry, hematology, immunohematology, and microbiology. In comparing the indexing coverage of the Zone 1 and 2 journals by four major databases, MEDLINE provided the most comprehensive coverage, while the Cumulative Index to Nursing and Allied Health Literature was the only database that provided complete coverage of the three source journals. However, to obtain complete coverage of the field, it is essential to search multiple databases.
authors.affiliation: Dana Medical Library, University of Vermont, Burlington, Vermont 05405, USA. Frances.Delwiche@uvm.edu
authors.forename: Frances A
authors.initials: FA
authors.lastname: Delwiche
mesh_terms: D000043:Abstracting and Indexing / Q000706:statistics & numerical data; D015706:Bibliometrics; D016206:Databases, Bibliographic / Q000592:standards / Q000706:statistics & numerical data*; D017408:Guidelines as Topic; D049672:History, 19th Century; D049673:History, 20th Century; D049690:History, Ancient; D016239:MEDLINE / Q000706:statistics & numerical data; D013677:Medical Laboratory Science / Q000266:history / Q000706:statistics & numerical data*; D010506:Periodicals as Topic / Q000145:classification / Q000706:statistics & numerical data*