Publications by authors named "Refka Al-Beyati"
Article Synopsis
- The study investigates how social media plays a role in spreading COVID-19 information and compares traditional citation counts with Altmetric Attention Scores (AAS) for the top 100 articles on COVID-19.
- Researchers identified these articles, noting AAS, source journals, and social media mentions, with a focus on popularity across platforms like Twitter and Facebook.
- The findings showed a median AAS of 4922.50 and a citation count of 24, suggesting that while Altmetrics can enhance understanding of article reach, they positively correlate with traditional citations.
Background: The use of social media assists in the distribution of COVID-19 information to the general public and health professionals. Alternative-level metrics (ie, altmetrics) and PlumX metrics are new bibliometrics that can assess how many times a scientific article has been shared and how much a scientific article has spread within social media platforms.
Objective: Our objective was to characterize and compare the traditional bibliometrics (ie, citation count and impact factors) and new bibliometrics (ie, Altmetric Attention Score [AAS] and PlumX score) of the top 100 COVID-19 articles with the highest AASs.