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Enregistrement W4315866083 · doi:10.1016/j.hrcr.2022.11.005

State of the Journal 2023: Heart Rhythm Case Reports

2023· editorial· en· W4315866083 sur OpenAlexaboutno aff
T. Jared Bunch

Notice bibliographique

RevueHeartRhythm Case Reports · 2023
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCardiovascular and exercise physiology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnthusiasmPresentation (obstetrics)MedicinePublishingMedical educationLibrary sciencePsychologyPolitical scienceLawSurgery

Résumé

récupéré en direct d'OpenAlex

Heart Rhythm Case Reports is now entering its ninth year in publication. As one of four official journals of the Heart Rhythm Society, this open-access journal continues to grow and evolve with the aim of publishing high-quality case reports that improve the care of patients with heart rhythm disorders by advancing research, education, and procedural skill and efficacy. The journal underwent several changes this year. First, we introduced a new page, “Focus on Allied Health Professionals,” specifically to highlight allied health professionals, who are a critical part of the heart rhythm team. Dr Aileen Ferrick, a nurse practitioner and the Assistant Director of Electrophysiology Research at White Plains Hospital, in White Plains, New York, edits this page. Her impact and vision have already been felt, with several highly educational articles published this year and many more in press or under review. We said goodbye to Dr Mohita Singh, who was our talented inaugural Section Editor for the new series “Focus on Fellows and Early-Career EPs.” Her time with the journal included an innovative interactive case presentation with Dr Melvin Scheinman. We welcomed Dr David Chang, a fellow from the Brigham and Women’s Hospital, as our new editor of this focus section. He has brought tremendous enthusiasm to our editorial team and has edited articles that discuss topics such as applying to an electrophysiology fellowship, professional resiliency, and imposter syndrome. A priority of the journal is to share divergent viewpoints that allow us to see challenges and problems differently and, in doing so, improve our approach to heart rhythm disorders. To this end, we have started to invite editorial commentaries on interesting cases. We hope to provide additional insight and educational content by bringing you these unique perspectives. The journal remains very healthy. At the time of writing this editorial, we have issued disposition on 3053 manuscripts. The overall acceptance rate has been between 42% and 47% annually and remains stable, with the primary goal of publishing high-quality case reports. As an online journal, we are not constrained by page limitations, and we can accept all articles felt to have merit as an educational resource. Like many other journals, we experienced a profound increase in submissions during the COVID pandemic; however, in 2022 our submission rate will be higher than pre-COVID numbers, indicating sustained journal growth and health. To accommodate our growing volume of submissions, we have expanded our editorial staff to include two new Associate Editors to improve our editorial review efficiency and response times. Dr Piotr Futyma, from St. Joseph’s Heart Rhythm Center, Rzeszow, Poland, and Dr Chirag Rashmi Barbhaiya, from the NYU Langone Medical Center, New York, New York, bring needed expertise and insight into novel ablative approaches and techniques, as well as emerging technologies for cardiac implantable devices. The journal continues to enjoy a strong national and rich international readership and broad social media impact. The top countries for submissions are, in order, the United States, Japan, China, United Kingdom, Canada, and Italy. Our social media outlets have been a consistent and strong way for us to share and disseminate knowledge. The journal’s Twitter account has grown from approximately 10,056 followers last year to 11,900 by November 2022. A corresponding Facebook page, which grew significantly this year from 2030 followers to 4100, is used to reach a different audience and to allow dynamic conversations that may require longer commentary than allowed by Twitter. We also launched an official Instagram account for the journal, as many of our cases have appealing images that work well with its visual platform. We will continue to look at additional novel methods to share our articles and contributions to the understanding of heart rhythm disorders broadly. As I conclude the year 2022 and nearly a decade in this role, I remain very grateful for the opportunity to serve all of you as Editor-in-Chief of Heart Rhythm Case Reports. It is a great pleasure for me to learn from each of you, the talented people who work diligently to improve the quality and quantity of life in those impacted by heart rhythm disorders. The Journal remains healthy through the support of the Heart Rhythm Society and the oversight of the Heart Rhythm Society publications committee. I am thankful for a dedicated editorial staff and Editorial Board who make this journal possible. The journal and I, are indebted to the reviewers who sacrifice their time to help others improve their manuscripts and to help our field grow and develop. We have many fellows and early-career colleagues who submit manuscripts, and your time and direction help guide their development and personal academic growth. I remain hopeful that our product will continue to meet your expectations and needs and, if not, I welcome your suggestions for improvement and direction (e-mail: [email protected], tweet: @tjaredbunch), and I look forward to another year of learning from each of you.

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)0,004
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: Étude de cas
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,086
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
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 Opus0,013
Tête enseignante GPT0,285
Écart entre enseignants0,272 · 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.

Devis d'étudeÉtude de cas
Domainenon disponible
GenreÉditorial

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
Publié2023
Routes d'admission1
Résumé présentoui

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