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Enregistrement W4400412286 · doi:10.1002/jhm.13457

Your service, our gratitude: A thank you to our peer reviewers

2024· article· en· W4400412286 sur OpenAlexaff
Samir S. Shah, Gregory W. Ruhnke, Sanjay Mahant, Daniel J. Brotman, Farah Acher Kaiksow, Charlie M. Wray

Notice bibliographique

RevueJournal of Hospital Medicine · 2024
Typearticle
Langueen
DomaineNursing
ThématiqueNursing Education, Practice, and Leadership
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésGratitudeMedicineService (business)Medical educationWorld Wide WebPsychologyComputer scienceSocial psychology

Résumé

récupéré en direct d'OpenAlex

The peer review process remains a cornerstone of maintaining the integrity of published research and informs editorial decisions regarding manuscript disposition. Each manuscript receives rigorous evaluation by expert reviewers, who contribute insights on its novelty, originality, scientific validity, and potential impact. These reviewers also offer valuable suggestions for manuscript improvement. This structured review process provides authors with constructive feedback, fosters a sense of community, and facilitates the publication of advancements in research and patient care. To augment our in-depth editorial assessment, we aim to have at least two independent peer reviews for each manuscript being considered for publication. However, over the past 3 years, we have had increasing difficulty securing reviewers. The average number of invitations we send to receive two quality reviews has increased from four in 2021 to eight this past year. As clinicians and researchers who regularly perform peer reviews for other journals, we understand the challenge of balancing this service with other obligations. On behalf of the entire journal editorial leadership team, we would like to extend our heartfelt thanks to our peer reviewers. Your reviews significantly enhance our authors' work and we deeply appreciate the time and effort you dedicate to the Journal of Hospital Medicine community. Your support is essential to our ability to publish such exceptional content. We would like to highlight some changes we've made to improve our process and your experience as reviewers for the Journal of Hospital Medicine. We have reduced the demand on our reviewing community. The Editor-in-Chief or other editorial leadership team members assess each manuscript submitted to the journal. This initial screening process has allowed us to only send about 25% of research manuscripts for external peer review. To show our appreciation, our “Journal of Hospital Medicine Top Reviewer” list recognizes the top 10% of reviewers, a designation awarded based on the combination of the number, quality, and turnaround time of reviews. We encourage recipients to list this honor on their curriculum vitae and share the recognition with their program, division, and department leadership. These contributions should also be highlighted in promotion letters as important service to the field and national acknowledgment of expertise. We also offer continuing medical education credit for peer review, underscoring its value in professional development. As always, we welcome your feedback on our peer review process. We are committed to building capacity for peer review in hospital medicine. In 2018, we established the Journal of Hospital Medicine Editorial Fellowship, a year-long mentored experience that helps early career hospitalists develop essential academic skills in peer review, academic writing, and scientific communication.1, 2 To date, this program has trained 36 hospital medicine physicians across the United States. Additionally, the journal proudly supports and encourages experienced reviewers to mentor fellows or junior faculty in reviewing. Prior permission for mentored reviews is not necessary. We ask mentors to let us know who assisted with the peer review. This communication allows us to thank all who participated in the review for their service to the journal and contribution to the field. We believe peer review is integral to sustaining our community and advancing knowledge in our field. Both are essential in allowing clinicians to provide the best care possible to patients and their families. To all our peer reviewers, we sincerely appreciate your efforts. To those interested in becoming a peer reviewer, we welcome your expertise, experience, and insights. Please email us at [email protected] with “I want to become a peer reviewer” in the subject line and we will help you join the Journal of Hospital Medicine community. The authors have nothing to report. The authors declare no conflict of interest.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,886
Score d'incertitude au seuil0,714

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,040
Tête enseignante GPT0,377
Écart entre enseignants0,337 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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