Notice bibliographique
Résumé
It has been a little over a year since I assumed the role of Editor-in-Chief for Neuro-Oncology. It is a privilege to work with the Associate Editors (AE) and members of the Editorial Board and to liaison with the leadership of the Society for Neuro-Oncology (SNO) and Oxford University Press (OUP) to continue to deliver high-quality scientific contributions. Elizabeth Martinson, the Managing Editor of Neuro-Oncology, has been a true partner, and I continue to learn so much about the scientific publishing world. The significance of the work published in the journal is evident from the increased Impact Factor from 13.029 to 15.9 this year. This will rank the journal 4th of 212 in clinical neurology and 16th of 241 in oncology journals overall, which are in Q1 for both categories.1 This is as a result of the dedication and commitment of researchers in the field and their passion to increase scientific knowledge so that it can translate to patient care. We are grateful that they choose the journal for highlighting their work, and we continue to work diligently to ensure a rapid, fair, and transparent review process. I would like to recognize and thank Ken Aldape for his leadership, which is directly responsible for the increase. It is also exciting that Neuro-Oncology Advances and Neuro-Oncology Practice have both received their first Impact Factor of 3.5 and 2.7, respectively.1 On behalf of the Neuro-Oncology community I would like to congratulate Gelareh Zadeh and Martin Taphoorn and their editorial teams for their outstanding leadership and commitment to grow the international Neuro-oncology publishing enterprise. Over the last few years, the journal has seen an increase in submissions focused on research in pediatric neuro-oncology. This reflects the tremendous expansion of investigations providing insight into molecular and genomic subgroups of pediatric brain tumors and the development of effective therapeutic strategies. The journal is fully aligned with SNO’s commitment to ensure our pediatric neuro-oncology colleagues are an integral group. In addition to having a section of the journal dedicated to this area, we have expanded the cadre of AEs to expedite rapid review of submitted manuscripts. I am pleased that Maryam Fouladi and Bill Weiss have agreed to join Annie Huang in the role of AE for the journal. One of my major goals as Editor-in-Chief is to develop educational activities to allow junior members of SNO to learn about the editorial process and to provide training in reviewing manuscripts. The launch of the Editorial Scholars Program in July 2023 is one opportunity to engage with junior faculty to increase exposure to, involvement in, and commitment to the journal peer-review process. Consistent with SNO’s commitment to Diversity, Equity and Inclusion, applicants from traditionally underrepresented groups in science and medicine were strongly encouraged to submit applications. We received 51 applications and 19 scholars (10 women) have been paired with mentors who will supervise real-time peer review of manuscripts. All applicants will be able to attend 2 virtual training sessions that will review the scientific publishing process and discuss the characteristics of a structured peer review. The scholars will meet in person for a mentoring session at the 2023 SNO meeting in Vancouver, British Columbia, Canada that will involve small breakout groups to discuss mock reviews and provide a forum for networking. I am grateful to the members of the Editorial Scholars Steering Committee and the Editorial Board members who have agreed to serve as mentors and to SNO for overseeing the organizational and operational aspects of the program. I look forward to working together to ensure that Neuro-Oncology is the premier academic resource in our field and to grow a diverse team of trained reviewers who can contribute to the academic publishing enterprise.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,028 | 0,157 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,009 | 0,007 |
| Études des sciences et des technologies | 0,003 | 0,006 |
| Communication savante | 0,021 | 0,015 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,010 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,044 | 0,036 |
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 source (Gemma direct ou Codex distillé), 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 ».