Assessment of Research Topic Prevalence by Journal Impact Quartile in Oral Health Sciences Using Bayesian Methods

Maria Carolina Cortes, Luis Vicente Gonzalez, Laura H. Gunn, Enrique ter Horst, German Molina, Silvia Restrepo and Juan Diego Zambrano

SAGE Open, 2021, vol. 11, issue 3, 21582440211031868

Abstract: The relationship between research topics and academic prestige of journals is of relevance to assess venues for current research as well as trending areas of new research. This is of special relevance for those developing a research agenda or with defined productivity outcome expectations. This manuscript extracts prevalent topics using titles and abstracts from more than 10,000 manuscripts, constituting all published research in International Scientific Indexing (ISI) journals within the oral health specialties of oral surgery, orthodontics, and periodontics during 2018. Journals are clustered across four quartile categories according to their impact factors. The novelty of our work includes (a) an examination of a neglected unit of analysis (bigram) in oral health sciences which is of higher relevance than single-word topic definitions and (b) the use of an efficient Bayesian hierarchical approach to extract and rank topics across quartiles with information borrowing. Some topics persisted across quartile groups, while others show higher prevalence in specific quartiles, indicating that topics may find some journal quartiles a more appropriate venue for publication. All quartile groups show a prevalence of empirical research. The approach described in this manuscript offers the possibility to adjust/generate research agendas based on research topic prevalence and dynamics. This methodology is relevant for researchers looking to define their research agendas with potential outcomes aligned with the expectations of quantity and quartile set by their home institutions. It also serves researchers to assess most likely quartiles for publication of their work.

Keywords: oral surgery; orthodontics; periodontics; text analysis; MNIR; research topics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440211031868 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:11:y:2021:i:3:p:21582440211031868

DOI: 10.1177/21582440211031868

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().