<i>Epilepsia</i> editorial: Publications by country
Notice bibliographique
Résumé
As a journal representing the international community, Epilepsia has a mission to support and disseminate high quality research from all regions of the world, and the Journal strives to maintain transnational balance and perspective. However, it is not uncommon to receive oral comments and letters, like the one by Hu et al. in this issue, that question if Epilepsia really serves the international community or if the Journal favors one country over another with respect to published manuscripts. Such a question is not unreasonable, and as Editors it is our view that the best way to address this question is through data. Table 1 shows the number of papers submitted to and accepted by Epilepsia from 2008 to 2013 according to country. Since 2008, Epilepsia has received manuscripts from 88 countries from all regions of the world. Of these, 77 were countries with International League Against Epilepsy (ILAE) chapters, and 11 were countries without chapters. This represents 69% of all countries with ILAE chapters. There is a somewhat skewed distribution of submissions by country but not for number of papers accepted and acceptance rates. The mean (± standard deviation [SD]) number of submissions by country was 60 ± 160 (range 1–1,321), with a median of 6. Fourteen countries (16%) submitted >100 manuscripts each, which represents 79% of all submissions. These countries include Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Korea, The Netherlands, Turkey, United Kingdom, and the United States, with the United States being the highest (25% of all submissions). The mean (±SD) number of accepted papers by country was 20 ± 63 (range 0–532), with a median of 1. Twenty-nine countries had 10 or more papers accepted by Epilepsia from 2008 to 2013, which was 96% of all published papers for that period. Those 29 countries represented all ILAE regions except for Africa, with the highest number from the United States (the same country with the highest number of submissions representing 30% of all accepted papers). The mean (±SD) percentage of accepted paper by country was 25 ± 28% (range 0–100%), with a median of 19%. Of countries that submitted 20 or more papers from 2008 to 2013, 22 (25%) had acceptance rates of 30% or greater. The five countries with the highest acceptance rates were Denmark (62%), New Zealand (58%), Australia (51%), United Kingdom (46%), and Hong Kong (44%). What do these data mean with respect to fulfilling the mission of Epilepsia as an international journal and having a paper accepted by individual country? Epilepsia is fulfilling its mission by publishing high quality papers from around the world. Many published papers are from the United States; however, this is also the country with the highest number of submissions, so it should not be a surprise. Other countries also have higher acceptance rates. Hence, Epilepsia does not appear to discriminate in accepting papers by country. As is true for journals with higher impact factors, Epilepsia makes acceptance decisions according to the quality and impact of submissions. As presented by Phil Schwartzkroin, immediate past Editor-in-Chief of Epilepsia in the accompanying letter from Dr. Hu and colleagues, those qualities include submissions that focus on important and interesting topics; have clearly stated goals and objectives; the observations and findings are novel and change the way we think about epilepsy; and the study is well designed and includes adequate sample size, comparison groups, and statistical analyses. It is also important that the data are appropriately interpreted and not overly construed. We hope this addresses the question about publication by country for Epilepsia. The Journal is committed to publishing the best quality and high impact research related to epilepsy, especially of international importance. As Editors, we encourage authors, especially new investigators, to consider submitting your work to Epilepsia. We promise to give your work a fair review without bias to geography, but with a bias toward quality and impact. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines. Neither of the authors has any conflict of interest to disclose.
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 | 0,012 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,007 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,012 | 0,005 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,008 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,030 | 0,028 |
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 ».