2020
DOI: 10.1017/s0031182020001596
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30 years of parasitology research analysed by text mining

Abstract: Bibliometric methods were used to analyse the major research trends, themes and topics over the last 30 years in the parasitology discipline. The tools used were SciMAT, VOSviewer and SWIFT-Review in conjunction with the parasitology literature contained in the MEDLINE, Web of Science, Scopus and Dimensions databases. The analyses show that the major research themes are dynamic and continually changing with time, although some themes identified based on keywords such as malaria, nematode, epidemiology and phyl… Show more

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Cited by 8 publications
(3 citation statements)
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“…The prerequisite network visualization was constructed using VOSviewer software version 1.6.17 for Windows. VOSviewer is a freely available, easy to perform, and widely used visualization landscape tool [ 24 , 26 , 27 , 28 , 29 ]. The exported data were plotted for co-authorship countries, keywords’ co-occurrence, bibliographic coupling and sources, and citation and documents network visualization.…”
Section: Methodsmentioning
confidence: 99%
“…The prerequisite network visualization was constructed using VOSviewer software version 1.6.17 for Windows. VOSviewer is a freely available, easy to perform, and widely used visualization landscape tool [ 24 , 26 , 27 , 28 , 29 ]. The exported data were plotted for co-authorship countries, keywords’ co-occurrence, bibliographic coupling and sources, and citation and documents network visualization.…”
Section: Methodsmentioning
confidence: 99%
“…Bibliometric methods have been used in the parasitology discipline for more than 30 years, but it is still at an early stage considering the available literature. Its primary aim is to reveal trending research topics via searching major literature databases [19].…”
Section: Discussionmentioning
confidence: 99%
“…The Hirsch index allows researchers to determine the classics and relevant contemporary articles. Finally, using the VOSviewer tool, researchers analyzed text data composed of titles and abstracts to identify high frequency terms and their time evolution trends [88][89][90].…”
Section: Methodsmentioning
confidence: 99%