Australian contribution to global otolaryngology research: 2008–2018
Bibliographic record
Abstract
BACKGROUND: Obtaining research funding in Otolaryngology - Head and Neck Surgery (ORL-HNS) can be challenging. In this paper, an analysis of research output in ORL-HNS in Australia and worldwide between 2008 and 2018 was conducted and then adjusted for the number of specialist surgeons in each country. METHODS: Scopus by Elsevier was used to measure research output of Ear, Nose and Throat (ENT) surgeons in Australia between 2008 and 2018. Each individual's career and 10-year h-index was identified and then repeated with self-citations excluded. Total and 10-year citations were also recorded. The top 15 countries in terms of research output in ORL-HNS were also ranked based on the number of ENT articles published in the 10-year period, and then adjusted by the number of actively practicing ENT surgeons per country. RESULTS: Between 2008 and 2018, Australia published 1510 articles out of a total global output of 48 613 papers in ORL-HNS with the top 10 authors having an h-index placing them within the world's top 100. Whilst the USA made the greatest total contribution with 12 912 publications, when adjusted for the number of specialist ORL-HNS clinicians in each country, Australia, Canada and India in order topped the rankings. CONCLUSION: Australia has established itself as a research leader in the global field of ORL-HNS, publishing more articles per surgeon than any other country between 2008 and 2018. The Australian ORL-HNS Academic Surgeons also rank highly on an individual basis when compared to global peers.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".