Prosthetic complications with dental implants: a bibliometric analysis of 20 top-cited articles
Bibliographic record
Abstract
The purpose of this review was to explore the 20 most cited articles on prosthetic complications with dental implants. Identification of such articles could be helpful in prosthodontics residency programmes in devising the curriculum of essential reading material in implantology. The Institute for Scientific Information, Web of Science Database, and Google Scholar were used to identify the 20 top-cited articles published in journals from 1980 till June 2021. These articles were then evaluated according to the number of citations, authors, study design, publication year, and publishing journal. Descriptive statistics were computed for bibliometrics. It was observed that the citation count ranged from 6,391 to 315 (in descending order). The Toronto study is the most cited study on dental implant prosthetic complications. Prospective studies and systematic and narrative reviews were the predominant study designs used in the articles; however, alarmingly no randomised controlled trials were included in the list.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.126 | 0.133 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".