The IJSPP Twitter Account: Our Secondary Step to Narrow the Gap Between Sport Science and Sport Practice
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Notice bibliographique
Résumé
One of the strengths of the International Journal of Sports Physiology and Performance (IJSPP) is the section of Practical Applications in each published article.This section is intended to address our mission to "promote the publication of research in sport physiology and related disciplines that has direct practical application to enhancing sport performance, preventing decrements in performance, or enhancing recovery of athletes."With the Practical Applications section, we try to narrow the often-mentioned gap between sport science and sport practice. 1-3By clear identification of authentic practical advice for athletes and practitioners, 2 we are attempting to "sow the fields for later harvest."However, just sowing the fields is not enough.A next step in narrowing the gap between science and practice is to actively deliver our message to the end users-the coaches-at the field, court, pool, or track.One obvious vehicle for this strategy is social media.It is clear that almost everybody is nowadays "connected" and that the amount of information spread on a variety of social media platforms is enormous.This challenges us to think of how IJSPP's message can stand out from the masses.That is not a complicated process.Just be the same as we always have been and, as is the case for the Practical Applications, deliver authentic practical advice to our readership.To accomplish this, IJSPP has appointed a Social Media Editor, Teun van Erp, who will lead us, together with Associate Editors Rob Lamberts and Stephen Cheung and Editorial Assistant Dionne Noordhof, in this task.Teun has experience as a sport scientist and has also been involved, for more than 10 years, as a leading scientist with one of the major Union Cycliste Internationale World-Tour cycling teams.As such, he has a very keen eye on the application of science in the field and is very well equipped to lead this task.For many scientists and also scientific journals, Twitter is the most popular platform to create social awareness about recently published papers and issues.Just like word of mouth is the best form of advertising, oftentimes the best notice for a paper comes from fellow scientists talking about the work.Posting can take many forms beyond a simple summary and link crammed into 280 characters.For some authors, it is also a creative pursuit, ranging from including key figures to infographics or image files summarizing the paper.Posting about papers is more than self-promotion.Instead, it is a venue for scientific communication to the end users.As part of this activity, it is important for journals to have a high number of Twitter followers, as this increases the social impact of a journal's tweets.In return, the tweets are an easy way for scientists, coaches, and other people interested in sport science research to keep track of recently accepted or published papers.The number of Twitter followers of the top-15 scientific journals ranges from 837 to 76,300.Interestingly, there is a strong correlation (r = .81)between a journal's number of Twitter followers and its impact factor (Figure 1).This highlights the fact that a scientific article in a journal not only needs to be of high quality but also needs social awareness in order to optimally share the body of knowledge with the end users.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 découle