A BIBLIOMETRIC AND ALTMETRIC ANALYSIS OF ALZHEIMER’S DISEASE: TOP 100 ARTICLES

Introduction: Alzheimer’s disease is the most common cause of dementia in elderly people, and aging is the most important risk factor. Our aim is to provide bibliometric and altmetric approaches to Alzheimer’s disease for better evaluation. Materials and Method: The word ‘Alzheimer’ was searched from the Web of Science database and Altmetric.com website to create, respectively, the Top 100 citation and altmetric lists. The articles were analyzed and compared according to study type, topic of study, publication year, citation number, journal quartile in category, impact factor, and altmetric attention score. Results: The median citation number of Top 100 cited articles was 2,043 (range: 1,411-3,212) and median altmetric attention score was 22 (range: 0-566). The median altmetric attention score of T100 altmetric articles was 771 (range: 550-3,378) and median citation number was 43 (range: 0-1,917). There was a significant correlation between citation number and altmetric attention score in citation list (p < 0.001, r = 0.438). In the citation list, most common study type, topic of study, and publication year were ‘original scientific paper,’ ‘pathophysiology, genetic,’ and ‘1993,’ while in the altmetric list, it was ‘original scientific paper,’ ‘etiology, risk factors,’ and ‘2017 and 2018,’ respectively. Conclusion: While academia tries to better understand disease mechanisms to find new treatment options, social media is more curious about how to be protected from a particular disease. Combining altmetric analysis with bibliometric analysis could be useful to develop convenient policies on the awareness of the society about Alzheimer’s disease. Keywords: Alzheimer Disease; Geriatrics; Dementia.