Citation and Altmetric Attention Score of Top 100 Highly Cited Articles in Health Information Management Journals: A Correlation Study

Abstract

The study investigates the cross relationship between Citation and Altmetric Attention Scores (AAS) of top 100 articles according to the highest citation in Health Information Management (HIM) journals. This article main goal is to check the relationship of the Citation, Altmetric Attention Score, Mendeley Readership Counts and Twitter score in highly cited articles in Health Information Management Journals. Data extraction was performed online, focusing on HIM topics using the Dimensions.ai database. The primary components of the study include citation counts, Altmetric Attention Score, Mendeley Reader Counts and Twitter Counts. The top 10 journals in HIM, ranked by h-index in the SCImago Journal Rank, were identified. From each of these top 10 journals, the top 10 highest cited articles were selected, constituting total of 100 articles. Microsoft Excel was used for data organization and table plotting. The Sperman Correlation test was conducted using SPSS version 23 software. The most important finding of the study indicates a low degree of positive correlation (rho=0.433) between citation counts and Altmetric attention scores, with statistical significance (p=0.000). The relation of Citations and Mendeley reader counts show a strong and statistically significant positive association (rho=0.628, p=0.000). Citation counts and Twitter scores display a moderate degree of positive correlation (rho=0.363), which is statistically significant (p=0.001).

Keywords: Citation; Altmetric Attention Score; Health Information Management; Twitter