- Used Kernel Density Estimation (KDE), specifically Gaussian kernels, to measure density – values of different indicators for each paper 
- Standardize indicator values to compute z-scores 

University of Michigan - Ann Arbor

- Density estimation
- Correlation analysis
- Comprehensive impact score (CIS)

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19 data analysis

Boetto, E., Fantini, M. P., Gangemi, A., Golinelli, D., Greco, M., Nuzzolese, A. G., ... & Rallo, F. (2020). Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19. Scientometrics, 1-27. https://link.springer.com/article/10.1007/s11192-020-03809-7 

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19 data analysis - density estimation

- Determining correlation between different indicators and their use on social media to see if combining indicators will lead to more significant results 
- Measured the correlation against the sample Pearson correlation coefficient to see if there is a linear relationship between indicators 
- Strong correlation coefficients align with previous research that there is a correlation between social media mentions and citations 

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19 data analysis - correlation analysis

- Impact score as a way to measure different bibliometric information
- CIS calculated using standardized scores and averaging standardized results for each category

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