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Enregistrement W4285710267 · doi:10.5433/1679-0359.2020v41n1p223

Half a century of research on cattle foot and claw diseases: a scientometric analysis

2020· article· en· W4285710267 sur OpenAlexaboutno aff
Danilo Conrado Silva, Paulo José Bastos Queiroz, Pedro Augusto Cordeiro Borges, Ana Carolina Barros da Rosa Pedroso, Emmanuel Arnhold, Alex Silva da Cruz, Aparecido Divino da Cruz, Luiz Antônio Franco da Silva

Notice bibliographique

RevueSemina Ciências Agrárias · 2020
Typearticle
Langueen
DomaineVeterinary
ThématiqueAnimal Behavior and Welfare Studies
Établissements canadiensnon disponible
Organismes subventionnairesConselho Nacional de Desenvolvimento Científico e Tecnológico
Mots-clésClawLaminitisWeb of scienceHoofCattle DiseasesVeterinary medicineScopusFoot (prosody)BibliometricsSubject (documents)DiseaseMedicineMeta-analysisPathologyBiologyLibrary scienceMEDLINEComputer scienceHorse

Résumé

récupéré en direct d'OpenAlex

The objective of this study was to quantitatively evaluate scientific publications on cattle foot and claw diseases using the Scopus database. A combination of keywords “hoof disease AND bovine OR cattle with the following being the most frequent: digital dermatitis (17%), sole ulcer (15%), and white line disease (11%). When grouped, laminitis-related diseases represented 48% and infectious diseases represented 38% of the studies. Overall, just over half a century of research on cattle foot and claw diseases, bovine digital dermatitis is the most studied disease. Grouping related disorders revealed that laminitis-related diseases are being studied more than infectious diseases since the 1980s, from when studies on individual foot diseases in cattle increased to the detriment of studies that aimed to evaluate them as a unique problem. Our study, the first scientometric analysis in the subject area, compiles valuable information that can help researchers to develop future projects. OR cow” was used. Publications were classified according to the type, language, subject area, source title, author, affiliation, and country/territory. The documents were grouped later into thematic topics. The diseases evaluated in each study were quantified separately and in related groups, and distributed by decades. The frequencies of the thematic topics and diseases were compared by the chi-square test for adherence. In total, 642 publications were analyzed (595 articles, 46 reviews, and 1 note). Most of these papers were written in English (518). The main subject areas were Veterinary; Agricultural and Biological Sciences; and Biochemistry, Genetics, and Molecular Biology. Journal of Dairy Science was the journal that published most articles in the area, with the best citations (SCImago Journal Rank = 1.21). The authors with the highest number of publications were Johann Kofler with 19, and David Nixon Logue and Jan Keith Shearer with 18 documents each. By affiliation, the institution with the highest number of publications was the Swedish University of Agricultural Sciences. By country or territory, the United States of America (22%), the United Kingdom (17%), Germany (11%), and Canada (10%) together accounted for 60% of the publications. The classification of the documents into thematic topics resulted in four groups: Specific hoof diseases (70%), General hoof diseases (14%), Lameness (11%), and Healthy hoof characterization (5%). Eighteen foot and claw diseases have been studied, with the following being the most frequent: digital dermatitis (17%), sole ulcer (15%), and white line disease (11%). When grouped, laminitis-related diseases represented 48% and infectious diseases represented 38% of the studies. Overall, just over half a century of research on cattle foot and claw diseases, bovine digital dermatitis is the most studied disease. Grouping related disorders revealed that laminitis-related diseases are being studied more than infectious diseases since the 1980s, from when studies on individual foot diseases in cattle increased to the detriment of studies that aimed to evaluate them as a unique problem. Our study, the first scientometric analysis in the subject area, compiles valuable information that can help researchers to develop future projects.

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 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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,105
Score d'incertitude au seuil0,744

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,009
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,152
Tête enseignante GPT0,417
Écart entre enseignants0,265 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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