In this article, the process and results of a literature search using a new proposed scientific literature search tool (ToS: Tree of Science) aimed at partially overcoming the need to search in different databases was used. In its present form, ToS needs, as input, a previous search in the Web of Science (WoS), and by means of all references used in the articles found in the WoS search, it selects the more significant items, classifying them into three categories: root, trunk and leaves. In our example, from an initial total sum of 164 hits found in WoS, ToS provided 90 items. The following fields of these two results were put together in an Excel sheet for elimination of repetitions and further consideration: title, authors, source, year of publication and DOI (Digital Object Identifier). Then, the titles of the articles were read and graded by the three authors (a senior researcher, a junior researcher, and a PhD student) as 0 (of no interest for the topic), 1 (of possible interest) or 2 (of interest). The marks were added up and those with a score > 3 (56) were selected for the abstracts to be read by the PhD student to establish a final student’s own selection (SoS) of articles for initiating the review of the literature on her topic of interest.

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Objective: to describe a simple and straightforward method to calculate the circle parameters that can be used to fit Electrical Bioimpedance Spectroscopy (EBIS) raw data to the complex plane and remove the hook effect, a deviation of that model especially seen at higher frequencies and considered as an artifact due to instrumental limitations. Approach: under the assumption that raw EBIS data in the middle frequencies best represent the beta dispersion, the authors of this article propose a geometrical procedure to calculate parameters for this dispersion and remove the hook effect. For this purpose, data obtained with two different devices were used with apparently very good results. Main results: the results of this study suggest that circle parameters for the beta dispersion can be obtained, but, also, that the residuals of the hook effect correction seem to adjust to a circle and, therefore, they could also be parameterized using the same approach. Significance: the method proposed in this article is very easy to perform and could help end EBIS users not familiar with mathematical models and fitting processes, to better understand and interpret their data.