Global research on dental polymers and their application: A bibliometric analysis and knowledge mapping
Bibliographic record
Abstract
Purpose: The main objective of the current study was to evaluate the top-cited articles, countries, journals, authors, and papers published related to dental polymers and their application. Research articles published from 1962 to 2021 on dental polymers and their application were identified using the Scopus database. Methodology: Bibliographical data related to the abstract, citations, keywords, and other relevant information was extracted using different combinations of keywords. Further evaluation and visualization of the selected data were performed with the help of various tools, including MS Excel, Microsoft Word, Google open refine, Biblioshiny, BibExcel, and VOS viewer. An initial search revealed 351 documents, of which 327 were chosen for further analysis. Results: A substantial increase in the number of publications related to this domain was observed. The United States was the most prolific country, while the Aristotle University of Thessaloniki from Greece was identified as the leading institute. Conclusion: This bibliometric analysis can guide researchers, funding agencies, industry, and institutions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.563 | 0.924 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".