The purpose of the study was to identify the development of scientific production by year and journal, determine the thematic structure and identify the co-authorship network of the literature about mycotoxins in food analysis. A descriptive study was conducted of documents published in the database Scopus from 2011 to 2020, using bibliometric indicators and visualization maps. A total 453 articles were included which met the inclusion criteria. Of these, 382 were research articles and 71 were reviews. The average annual number of citations per article ranged from 6 in 2019 to 40.5 in 2012. The most productive journal was Mycotoxin Research from Springer Nature publishers. The co-occurrence map displayed five descriptor clusters, whereas the co-authorship map displayed 21 clusters, 14 of which corresponded to authors researching in co-authorship. Scientific development had a non-uniform, slowly growing annual output. The thematic structure according to the co-occurrence network shows that the most frequent term is "mycotoxins", corresponding to mycotoxins influencing public health from the first cluster. The co-authorship network shows that 98.2% of the articles were co-authored, and the most productive author was Krska Rudolf, from Queen's University, Belfast, with 24 articles.
|Título traducido de la contribución||Mycotoxins in food analysis: A study with bibliometric indicators and visualization maps|
|Número de artículo||e1792|
|Publicación||Revista Cubana de Informacion en Ciencias de la Salud|
|Estado||Publicada - 1 oct. 2021|
Nota bibliográficaPublisher Copyright:
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- food analysis
- visualization maps