Research on alternative measures in the F1000 system with Google Scholar citation index

The purpose of this study was to assess the relationship between altmetrics measures of F1000 website and citation indexes of Google scholar. Applied research and survey methods, citation analysis, and webometrics with descriptive analytical approach are used. The study population comprised of 218 biomedical research papers have been indexed in F1000 system in the period 2012-2014. A sample of 100 research articles were purposely selected from F1000 system based on the purpose of the research. Variables associated with altmetrics measures were extracted from F1000 and variables associated with citation measures were from Google scholar. Data analysis was conducted by SPSS software version 16 using descriptive and inferential statistics. The results of this study indicate a significant positive correlation between variables associated with altmetrics and citation measures. They also confirm a strong positive correlation between Altmetrics indicators. However, the measures of the number of the authors and the funding supply of the articles show no significant correlation with altmetrics and citation measures. So an Altmetrics measure presents a new way to measure the impact of writers and publications which is a complementary to traditional assessment indicators. The significant correlation between altmetrics and citation metrics indicate that combination of traditional and altmetrics indicators presents a more complete history of the writer or the article which provides clear dimensions of scientific assessment of research.