title: *informatics: Identifying and Tracking Informatics Sub-Discipline Terms in the Literature.
abstract: OBJECTIVE
  To identify the breadth of informatics sub-discipline terms used in the literature for enabling subsequent organization and searching by sub-discipline.
  
  
  METHODS
  Titles in five literature sources were analyzed to extract terms for informatics sub-disciplines: 1) United States (U.S.) Library of Congress Online Catalog, 2) English Wikipedia, 3) U.S. National Library of Medicine (NLM) Catalog, 4) PubMed, and 5) PubMed Central. The extracted terms were combined and standardized with those in four vocabulary sources to create an integrated list: 1) Library of Congress Subject Headings (LCSH), 2) Medical Subject Headings (MeSH), 3) U.S. National Cancer Institute Thesaurus (NCIt), and 4) EMBRACE Data and Methods (EDAM). Searches for terms in titles from each literature source were conducted to obtain frequency counts and start years for characterizing established and potentially emerging sub-disciplines.
  
  
  RESULTS
  Analysis of 6,949 titles from literature sources and 67 terms from vocabulary sources resulted in an integrated list of 382 terms for informatics sub-disciplines mapped to 292 preferred terms. In the last five decades, "bioinformatics", "medical informatics", "health informatics", "nursing informatics", and "biomedical informatics" were associated with the most literature. In the current decade, potentially emerging sub-disciplines include "disability informatics", "neonatal informatics", and "nanoinformatics" based on literature from the last five years.
  
  
  CONCLUSIONS
  As the field of informatics continues to expand and advance, keeping up-to-date with historical and current trends will become increasingly challenging. The ability to track the accomplishments and evolution of a particular sub-discipline in the literature could be valuable for supporting informatics research, education, and training.
authors.affiliation: Elizabeth S. Chen, PhD, Center for Clinical and Translational Science, 89 Beaumont Avenue, Given Courtyard S356, Burlington, VT 05405, USA, E-mail: liz.chen@uvm.edu.
authors.forename: E S
authors.initials: ES
authors.lastname: Chen
authors.forename: I N
authors.initials: IN
authors.lastname: Sarkar
mesh_terms: D015706:Bibliometrics; D057225:Data Mining / Q000379:methods*; D016206:Databases, Bibliographic / Q000706:statistics & numerical data*; D048088:Informatics / Q000145:classification* / Q000706:statistics & numerical data*; D009323:Natural Language Processing; D010506:Periodicals as Topic / Q000706:statistics & numerical data*; D018875:Vocabulary, Controlled
keywords: Informatics; bibliometrics; controlled vocabulary; publications