
The objectives of this study were to analyze the results of articles retrieved on the subject of mouth neoplasms and mouth rehabilitation, published between 1990 and April 2016, identify the dispersion of the publications, and examine authorship patterns and citations in the Scopus database, based on the Laws of Bradford and Lotka. This was a bibliometric study, with a descriptive and quantitative approach. An analysis of articles published in journals indexed in the Scopus database was performed, using the terms “Mouth Neoplasms” and “Mouth Rehabilitation”. Twenty-eight original articles were retrieved, published in 18 journals, with irregular distribution in the period studied. At the time of analysis, 222 citations were identified with a mean of eight per document. The fields of medicine and dentistry stood out with publications on the theme. Germany had the largest scientific production. The study revealed a modest number of publications and the need for nursing engagement in this area of research.
Medicine (General), Mouth rehabilitation, R5-920, Bibliometrics, RT1-120, Nursing, Mouth neoplasms, Public aspects of medicine, RA1-1270
Medicine (General), Mouth rehabilitation, R5-920, Bibliometrics, RT1-120, Nursing, Mouth neoplasms, Public aspects of medicine, RA1-1270
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
