Correlation between Facebook and Google Scholar in scientific journals impact
Revista Latina de Comunicacion Social, ISSN: 1138-5820, Vol: 81, Issue: 81, Page: 314-331
2023
- 6Citations
- 31Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Introduction: Scientific journals (RC) guarantee quality and contribute to the construction of knowledge through the publication and dissemination of research results. Methodology: The empirical study had a mixed approach, non-experimental cross-sectional design, descriptive and correlational scope. The social network chosen for the analysis was Facebook, the metric was the number of citations registered in the GScholar profile, the population was 2054 CR from Latin America registered in the 2.0 catalog of the Regional Information System online for Latindex Scientific Journals. The data was analyzed in SPSS 25 software, Spearman's correlation coefficient test was performed. Results: There is a) Low positive correlation between Facebook posts and citations obtained in GScholar, b) Moderate positive correlation between the number of Facebook followers and the number of GScholar citations c) Weak positive correlation between the number of followers of the RC on Facebook and the number of citations obtained by the RC in GScholar. Discussion: The limitation was to consider a single social network; it is suggested for future research to include other social networks and analyze the shared content. Conclusions: The use of social networks and marketing strategies by CRs is an activity that must be incorporated into daily actions considering that, in current times, a large part of the daily activities of people-scientists and researchers included-are develop through digital platforms and devices.
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