Research Productivity of Foot and Ankle Fellowship Faculty
Bibliographic record
Abstract
Background Contribution to literature is critical for progress in the field of orthopaedics. No previous study has yet examined the academic productivity of foot and ankle surgery fellowship faculty. Purpose To evaluate the publishing productivity of foot and ankle fellowship faculty. Methods Faculty and program characteristics of orthopaedic foot and ankle fellowship programs across the United States and Canada were collected from American Orthopaedic Foot and Ankle Society (AOFAS) and program websites. Faculty publication productivity measures, including publications, number of publications in specific journals, number of citations, and Hirsch index (h-index) were gathered using the Scopus database. Results A total of 48 AOFAS foot and ankle surgery fellowship programs were identified with an associated 185 faculty members. The mean number of publications per faculty member was 44.9 (SD = 53.0; range = 0-323), with a mean h-index of 11.9 (SD = 10.6; range = 0-54). A total of 144 (77.8%) academic-affiliated faculty had a significantly greater number of publications ( P < .01), total citations ( P < .05), and publications in Foot and Ankle International ( P < .05), Journal of Bone and Joint Surgery ( P < .05), Clinical Orthopaedics and Related Research ( P < .05), and Journal of the American Academy of Orthopaedic Surgeons ( P < .05) compared to the 41 (22.2%) nonacademic faculty. There were no significant differences between measures of publication productivity between male and female faculty, except for maximum citations in a single article (67.1 vs 142.3; P < .05). Conclusions Academic-affiliated foot and ankle fellowship faculty have higher research productivity than nonacademic surgeons. The mean h-index of foot and ankle fellowship faculty was 11.9, which is lower than that reported in sports, joints, and spine fellowship faculty but higher than that reported for hand fellowship faculty. Level of Evidence: Level IV
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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 | 0.014 | 0.083 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.015 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".