Search results for "Google trends"
showing 3 items of 3 documents
What Motivates Internet Users to Search for Asperger Syndrome and Autism on Google?
2020
Social campaigns are carried out to promote autism spectrum disorder (ASD) awareness, normalization, and visibility. The internet helps to shape perceptions of Asperger syndrome and autism. In fact, these campaigns often coincide with the increase in searches for both diagnoses on Google. We have two study objectives: to use Google Trends to identify the annual time points from 2015 to 2019 with the highest Google search traffic in Spain for the terms &ldquo
Cardiac troponin I and T: Exploring popularity with Google Trends
2020
The implementation of high-sensitivity cardiac troponin T (hs-cTnT) assays and a cutoff based on the 99th cTnT percentile in the evaluation of patients with suspected acute coronary syndrome has not been uniform due to uncertain effects on health benefits and utilization of limited resources.Clinical and laboratory data from patients with chest pain or dyspnea at the emergency de¬partment (ED) were evaluated before (n = 20516) and after (n = 18485) the lowering of the hs-cTnT cutoff point from 40 ng/L to the 99th hs-cTnT percentile of 14 ng/L in February 2012. Myocardial infarction (MI) was diagnosed at the discretion of the attending clinicians responsible for the patient.Following lowerin…
Is Big Brother Watching Us? Google, Investor Sentiment and the Stock Market
2013
International audience; This paper proposes a novel measure of French investor sentiment based on the volume of internet search reported by Google Trends. We find that our sentiment indicator correlates well with alternative sentiment measures often used in the literature. Furthermore, we find that investor sentiment influences the behavior of mutual fund investors. The results also reveal evidence about short-run predictability in return. An increase in our sentiment index leads to short-term return reversal. The reversal pattern is more pronounced for smaller firms than larger firms, consistent with the predictions of noise trader's models.