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- Title
Author Impact Metrics in Communication Sciences and Disorder Research.
- Authors
Stuart, Andrew; Faucette, Sarah P.; Thomas, William Joseph
- Abstract
Purpose: The purpose was to examine author-level impact metrics for faculty in the communication sciences and disorder research field across a variety of databases. Method: Author-level impact metrics were collected for faculty from 257 accredited universities in the United States and Canada. Three databases (i.e., Google Scholar, ResearchGate, and Scopus) were utilized. Results: Faculty expertise was in audiology (24.4%; n = 490) and speech-language pathology (75.6%; n = 1,520). Women comprised 68.1% of faculty, and men comprised 31.9% of faculty. The percentage of faculty in the field of communication sciences and disorders identified in each database was 10.5% (n = 212), 44.0% (n = 885), and 84.4% (n = 1,696) for Google Scholar, ResearchGate, and Scopus, respectively. In general, author-level impact metrics were positively skewed. Metric values increased significantly with increasing academic rank (p < .05), were greater for men versus women (p < .05), and were greater for those in audiology versus speech-language pathology (p < .05). There were statistically significant positive correlations between all author-level metrics (p < .01). Conclusions: These author-level metrics may serve as a benchmark for scholarly production of those in the field of communication sciences and disorders and may assist with professional identity management, tenure and promotion review, grant applications, and employment.
- Subjects
CANADA; UNITED States; COLLEGE teachers as authors; COMMUNICATIVE disorders research; GOOGLE Scholar (Web resource); COMMUNICATION education in universities &; colleges; SPEECH-language pathology; UNIVERSITIES &; colleges; AUDIOLOGY education; EMPLOYMENT; MEDICAL literature -- History &; criticism; AUTHORS; CHI-squared test; SEX distribution; SPEECH therapy; STATISTICS; DATA analysis; LITERATURE reviews; HEALTH occupations school faculty; DATA analysis software; DESCRIPTIVE statistics; MANN Whitney U Test; KRUSKAL-Wallis Test
- Publication
Journal of Speech, Language & Hearing Research, 2017, Vol 60, Issue 9, p2704
- ISSN
1092-4388
- Publication type
Article
- DOI
10.1044/2017_JSLHR-H-16-0458