Understanding urologic scientific publication patterns and general public interests on stone disease: lessons learned from big data platforms.

ABSTRACT: PURPOSE:To analyse patterns of stone disease online information-seeking behaviours in the United States and to correlate with urological literature publication aspects. METHODS:To compare Relative Search Volume (RSV) among different twelve preselected urologic keywords we chose "United States" as country and "01/01/2009-31/12/2018" as time range on Google Trends (GT). We defined "ureteroscopy" as a reference and compared RSV against it for each term. RSV was adjusted and normalized in a scale 0-100. Trend presence was evaluated by Mann-Kendall Test and magnitude by Sen's Slope Estimator (SS). Weather influence on RSV was also investigated by comparison of the ten hottest versus ten coldest states. Pearson correlation analysis was performed between number of Pubmed publications and RSV for each term over time. RESULTS:We found an upward tendency (p?

SUBMITTER: Marchini GS 

PROVIDER: S-EPMC7590553 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature