Half a century of research on cattle foot and claw diseases: a scientometric analysis
Notice bibliographique
Résumé
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.
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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 | 0,019 | 0,072 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,152 | 0,176 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
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 ».