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Enregistrement W4389473801 · doi:10.1002/agt2.474

From bud to blossom: The incredible journey of <i>Aggregate</i>

2023· article· en· W4389473801 sur OpenAlex

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
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Notice bibliographique

RevueAggregate · 2023
Typearticle
Langueen
DomaineDecision Sciences
Thématiquescientometrics and bibliometrics research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAggregate (composite)Impact factorCitationDirectoryScopusQuality (philosophy)Library scienceComputer sciencePolitical scienceNanotechnologyPhysicsMaterials scienceLaw

Résumé

récupéré en direct d'OpenAlex

The days are long, but the years are short. This quote perfectly encapsulates my feelings as we mark the third anniversary of Aggregate. Over the past 3 years, Aggregate has been a steadfast companion to scientists, growing together with them in the field of research on aggregate science. On June 28, 2023, Clarivate Analytics unveiled Journal Citation Reports (JCR) 2023 and Aggregate received its first Journal Impact Factor (JIF) of 18.8. This is a great milestone in the development of Aggregate. I am thrilled to witness that Aggregate has made further progress this year in terms of both the quantity and quality of published papers. The inauguration of Aggregate 3 years ago was a rather brave attempt. I am happy to see that it has been developing on a fast track. After being included in the Directory of Open Access Journals and the Emerging Sources Citation Index, Aggregate has been indexed by Scopus (a database run by Elsevier) this year. In 2022, Aggregate obtained its first JCR, with a Q1 ranking in three categories: Chemistry, Multidisciplinary; Chemistry, Physical; and Materials Science, Multidisciplinary. This year, Aggregate stayed at the top and obtained its first JIF of 18.8, manifesting that the journal has attracted a wide spectrum of audience in the scientific community. Aggregate is rapidly growing: while the data for 2023 are not yet available, the number of articles published in 2022 was increased by 70% from that in 2021. At Aggregate, we recognize the importance of maintaining a balance between quantity and quality. We do not just take the JIF as the sole measure of success. Instead, we prioritize the leadership position of the journal in its field of study. We believe that quality and impact of the published papers will naturally contribute to the continued growth and influence of Aggregate. As an open access journal, Aggregate is committed to promoting widespread utilization of research findings. Starting from December of this year, Aggregate will introduce the Article Processing Charges to ensure that researchers and scholars worldwide have free access to the published papers. We believe that this transition will facilitate the quick dissemination of knowledge and contribute to the advancement of scientific research across disciplines. We greatly appreciate the support and understanding of our authors and readers as we make this transition. We remain dedicated to maintaining the highest standards of quality and integrity in the review and publication processes, and we will continue to foster a collaborative and inclusive environment where researchers can share their latest discoveries and insights in a timely manner. To keep close communication with our readers and bring cutting-edge research findings to the public, we regularly promote high-quality papers published in Aggregate through social media such as Twitter (@AggregateOA) and WeChat (@Aggregate_2020). We have also organized a number of onsite and online academic events. Following the successful hosting of three global online webinars on soft matter, electroluminescence, and protein science in the US, UK, and Australia, respectively, in 2022, this year, we have organized another three webinars on luminescent materials, smart materials, and bioengineering. We have further witnessed the flourishing of onsite conferences and meetings alongside regular regional online webinars in China. This summer, the first editorial board meeting of Chinese members was successfully held in Tengchong, Yunnan, and an Aggregate summit forum took place in Wuhan, Hubei. We organized a journal forum on nanobiology during the ChinaNanomedicine 2023 conference in Guangzhou, Guangdong. All these events have garnered tremendous success. I am delighted to announce that we have welcomed three young Associate Editors to our team. They are Prof. Eric Rivard from University of Alberta (Canada), Prof. Wei Tao from Harvard Medical School (US), and Prof. Ali K. Yetisen from Imperial College London (UK). We highly value the growth of young talents. Building upon the success of our first Emerging Investigators Special Issue last year, we have expanded our Next Generation Board, which now comprises 36 young researchers worldwide. In October of this year, Elsevier and Stanford University published a data update for “updated science-wide author databases of standardized citation indicators”, identifying the “World's Top 2% Scientists 2023”. We are proud to see that 98 scholars from Aggregate Editorial Board have been included in this esteemed list. In November, Clarivate Analytics released the “Highly Cited Researchers 2023”, wherein 47 members from Aggregate Editorial Board were recognized. The growth of Aggregate would not have been possible without the dedicated efforts of our authors, reviewers, readers, and editorial board members. Herein, I extend my heartfelt gratitude to all who have supported and contributed to the development of our journal. Aggregate has emerged as a leading platform for forefront aggregology studies. Looking ahead, I am excited about the bright future of Aggregate. We will continue to uphold the highest scientific standards and provide a large stage for groundbreaking discoveries and innovative insights. Together, we have established a premier journal in aggregate science, and I am confident that our collective endeavors will continue to shape the field in the years to come. The author declares 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.

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)0,017
score de la tête « metaresearch » (Gemma)0,023
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Bibliométrie, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesBibliométrie
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,222
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0170,023
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0240,232
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0040,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,007

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 Opus0,510
Tête enseignante GPT0,541
Écart entre enseignants0,032 · 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