Publication Productivity of Orthopaedic Surgery Chairs
Notice bibliographique
Résumé
BACKGROUND: As academic leaders, orthopaedic chairs represent role models for scholarly activities. Despite the importance of journal publications as a measure of scholarly activity, data on the publication productivity of orthopaedic chairs remain limited. The goals of this study were to record the publication productivity of orthopaedic chairs and evaluate the extent to which they maintained their scholarly activity while serving as chairs. METHODS: The chairs of all orthopaedic residency programs in the United States were identified through the Accreditation Council for Graduate Medical Education (ACGME) web site, and were confirmed by information found on the web site of each orthopaedic program that was included in the study. University and non-university chairs were defined based on affiliation of the program with a medical school. The publication records of the program chairs were retrieved through the Scopus database. RESULTS: During the 7 years prior to their appointment to chair, the mean number of total publications was significantly higher for university chairs (n = 58.6, range 0 to 217) than for non-university chairs (n = 29.1, range 0 to 13) (p = 0.003). The mean number of publications per year during the 7 years leading up to the chair position was 4.66 (range, 0 to 25) for the university chairs, and 2.29 (range, 0 to 10.9) for the non-university group (p = 0.02). While serving as chair, the mean number of publications per year significantly decreased among the university chairs to 3.75 (range, 0 to 32.8; p = 0.015), whereas no significant change was observed among non-university chairs. The mean percentage of first authorships was not significantly different between university and non-university chairs. Both groups showed significant declines in first authorships while serving as chair. CONCLUSIONS: At the time of becoming chair, the average university chair had published approximately 60 manuscripts, whereas the average non-university chair had published approximately 30 manuscripts. While serving as chair, the number of publications per year significantly decreased for university chairs. Among all chairs, the percentage of first authorships significantly decreased while serving as chair.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,161 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».