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This article investigates subject-related research metrics from the most popular scientometrics platforms with the capability of citation count. Quantitative analyses have been carried out to determine the most- to the least-cited subject areas to indicate the most active and dynamic fields in research. Subject areas are classified based on statistical analyses and the number of citations received in the period of search. Numerous articles were analyzed from top-ranked journals in all research fields covered by SCImago journal classification. A comprehensive data set was generated in 27 research subject areas, including 313 subject categories and 81 high-ranked journals. Results showed that the highest number of citations were related to the sciences and science-related subject areas. The subject areas of computer science and mathematics had the lowest research metrics and the smallest number of highly cited publications. Web of Science performed better than Scopus for subject-related evaluations. Analysis of frequency data showed that Google Scholar cited fewer papers for low-cited publications than did Scopus or Web of Science. For highly cited publications, however, Google Scholar was found to have better performance. Web of Science showed the best consistency in citation coverage in most of the investigated subject areas. [ABSTRACT FROM AUTHOR]

Liaison (or subject specialist) librarians are routinely identified as essential to the sustained success of academic libraries. Yet despite the purported centrality of liaisons to the mission of their institutions, many libraries have struggled to define the role of the subject specialist. These attempts at definition have resulted in a proliferation of service models and deployment strategies. This paper examines and critiques the design and deployment of subject specialist services in science and engineering libraries. The authors advocate for a team-based approach to STEM librarianship, highlighting its advantages over two commonly used models: the discipline specialist and the functional specialist. The authors have successfully employed a team-based model in two different institutional settings, most recently at Vanderbilt University in Nashville, Tennessee. This paper shares lessons learned from implementing a team-based model, discussing the opportunities and challenges of such an approach. [ABSTRACT FROM AUTHOR]