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Enregistrement W2005713696 · doi:10.1186/2044-5040-1-1

Welcome to Skeletal Muscle

2011· editorial· en· W2005713696 sur OpenAlex

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Notice bibliographique

RevueSkeletal Muscle · 2011
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMuscle Physiology and Disorders
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésSkeletal muscleMyocyteBiologyMyogenesisMuscle hypertrophyMuscular dystrophyCell biologyNeuroscienceAnatomyBioinformaticsEndocrinologyGenetics

Résumé

récupéré en direct d'OpenAlex

Over the past decade or two, cellular signaling and molecular genetics have combined to allow for a tremendous increase in the understanding of fundamental processes that are distinct to skeletal muscle: the genes that initiate its differentiation from progenitor cells and which establish its identity; pathways that are responsible for its hypertrophy under load and its atrophy in settings of cachexia, disuse and denervation; an increase in the understanding of its remarkable and distinct ability to regenerate from cellular injury and how that ability declines with age; the genes that are responsible for the multiple types of muscular dystrophy and some indication as to how these genes function; a finer understanding of muscle contractility and the signaling pathways that control contraction; the role of the mitochondria and energy use in skeletal muscle; the contribution of skeletal muscle to insulin and fatty acid signaling; and the discovery of precursor cells that can give rise to skeletal muscle, most notably the satellite cell. Beyond these basic and exciting discoveries, there are also the complex interactions between muscle and motor neuron, muscle and fat, muscle and vasculature, muscle and tendon, and muscle and bone, that are becoming subjects of study. In addition, researchers have begun to explore how skeletal muscle's basic processes are perturbed in settings of disease and advanced age. The dramatic increase in research on skeletal muscle richly justifies the establishment of a new home for the resultant reports detailing progress in the understanding of this remarkable tissue. Skeletal Muscle is therefore launched to provide such a home. We should emphasize that we take that metaphor seriously. The pages of this journal will provide space in the same way a home in a community functions: to give the active scientist room to develop a field; to report exciting new understandings as to mechanisms that constitute and control skeletal muscle; to distribute notes on important techniques; to review recent developments; to provide perspective on long-standing research; and to provide constructive feedback from peers well versed in the research area. The journal should be the first resort for an experienced scientist researching skeletal muscle who seeks to reach other scientists who would be most interested in a finding. It is hoped that this journal will become required reading for students who want to learn about skeletal muscle and for experienced scientists who seek to keep up with the most important developments in the field. We have a goal that this journal will become the skeletal muscle equivalent of Neuron or Blood, to name other journals that provide similar space for research in their named tissue types. The reason Skeletal Muscle is needed is simply that no similar journal for skeletal muscle exists. Ours is an open access journal [1]. Open access will allow key findings in our field to be more accessible and far-reaching, because the journal will be published online and without subscription charges. An online journal means more rapid reviews and shorter time to publication. For a growing field, dispensing new knowledge quickly is critical. The online format will also allow us to publish articles without the constraint of page limitations. A fixed article- processing charge will be levied to cover the publication costs [2], and there will be no additional page or color figure charges. Furthermore, the active nature of the contracting or regenerating skeletal muscle system is often well captured in the form of movies and animation. We have made this a priority in the format of Skeletal Muscle: movies may be built into an article, such that readers will be only a click away from a real-time view of the observations. Also, the online format permits the journal to generate a cover for every article we publish (and contributors are invited to furnish cover art for their papers). The editors are committed to making this new venture a success for the skeletal muscle community [3]. We therefore hope that you share our vision and will join us in launching Skeletal Muscle. We will not be successful without your enthusiastic support and contributions.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,105
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,008
Tête enseignante GPT0,249
Écart entre enseignants0,241 · 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