The Author Truncation “et al.” in Article References: An Anachronism That Needs to Change
Notice bibliographique
Résumé
Background: Valuable research requires contribution from many experts; however, the “et al.” truncation often keeps all individuals from being acknowledged. The adoption of a new citation rule ( list all authors up to 30, followed by et al.) would allow more authors to be acknowledged. The purpose of this study was to (1) explore the citation styles of the top 10 Plastic Surgery, Surgery, and Medical journals and (2) compare the number of extra pages required, and the number of additional authors acknowledged when the “new rule” is implemented. Methods: The top 10 journals in Plastic Surgery, Surgery, and Medicine were identified. The citation styles used in each of the journals were reviewed and the reference list from a recently published article was extracted. The original reference list was used to create an Extended Reference List using the new rule. Results: Most journals implemented “et al.” when seven or more authors were listed. Ten articles required additional pages to accommodate the Extended Reference List. When the “et al.” truncation was introduced after 30 authors, there was an almost 100% chance of all authors being included. The adoption of this rule rarely resulted in the need for additional pages, especially within Plastic Surgery. Conclusions: In a time of electronic publishing, where constraints such as article and journal page length should not be important factors, all authors should be recognized. The use of the “et al.” truncation should be discouraged by all individuals involved in the production and publication of research. Scenario You are asked by the Editor-in-Chief of your specialty's journal to review an article in your area of expertise. You gladly accept the task. One of the questions you are required to answer in your review is whether the authors of the submitted manuscript have missed any important articles in their references. As you are the recognized expert in this field, you glance at the references to see if a key article you published 3 years earlier has been included. The first author of that article was a junior resident in your service and the research was done under your supervision. To their credit, the authors included the said article, but you are dismayed that the reference does not include your name. It includes only the names of the first three authors, all junior residents in your service. Your name, and the names of many others, are lost in the et al. truncation.
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 | 0,063 | 0,113 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».