Andersen, J. P., & Haustein, S. (2015). Influence of study type on Twitter activity for medical research papers. Retrieved June17 2020.

      https://www.researchgate.net/publication

An, P., Song, P., Lian, K., & Wang, Y. (2020). CT manifestations of novel coronavirus pneumonia: a case report. Balkan medical journal, 37(3), 163-165.

Batooli, Z., & Sayyah, M. (2020). Measuring social media attention of scientific research on Novel Coronavirus Disease 2019 (COVID-19): An investigation on article-level metrics data of Dimensions. Retrieved June17 2020. www.researchsquare.com.

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. arXiv preprint arXiv:2004.06179.

Costas, R., Zahedi, Z., & Wouters, P. (2015). Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science & Technology, 66 (10), 2003-2019.

Chang, J., Desai, N., & Gosain, A. (2019). Correlation between altmetric score and citations in pediatric surgery core journals. Journal of Surgical Research, 243, 52-58.

Chopra, V., Toner, E., Waldhorn, R., & Washer, L. (2020). How should US hospitals prepare for coronavirus disease 2019 (COVID-19)? Retrieved June17 2020.

      https://www.acpjournals.org/doi/

Dehghanbanadaki, H., Seif, F., Vahidi, Y., Razi, F., Hashemi, E., Khoshmirsafa, M., & Aazami, H. (2020). Bibliometric analysis of global scientific research on Coronavirus (COVID-19). Medical Journal of The Islamic Republic of Iran (MJIRI), 34(1), 354-362

El Mohadab, M., Bouikhalene, B., & Safi, S. (2020). Bibliometric method for mapping the state of the art of scientific production in Covid-19. Chaos, Solitons & Fractals, 139, 110052.

Fabiano, N., Hallgrimson, Z., Kazi, S., Salameh, J. P., Wong, S., Kazi, A., ... & McInnes, M. D. (2020). An analysis of COVID-19 article dissemination by Twitter compared to citation rates. medRxiv. Retrieved October 21 2020. https://www.medrxiv.org/

Fang, Z., & Costas, R. (2020). Tracking the Twitter attention around the research efforts on the COVID-19 pandemic. arXiv preprint arXiv:2006.05783.

Gorbalenya, A. E., Baker, S. C., Baric, R., Groot, R. J. D., Drosten, C., Gulyaeva, A. A., ... & Penzar, D. (2020). Severe acute respiratory syndrome-related coronavirus: The species and its viruses–a statement of the Coronavirus Study Group. Retrieved Septamber 9 2020.  https://digital.csic.es/handle/10261/212994

Holmberg, K. J. (2015). Altmetrics for information professionals: Past, present and future. Chandos Publishing.

Heydari, S., Shekofteh, M., & Kazerani, M. (2019). Relationship between altmetrics and citations a study on the highly cited research papers. DESIDOC Journal of Library & Information Technology, 39(4), 169-174.

Korda, H., & Itani, Z. (2013). Harnessing social media for health promotion and behavior change. Health promotion practice, 14(1), 15-23.

Kousha, K., & Thelwall, M. (2020). COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts. Quantitative Science Studies, (Just Accepted),1-28.

Maleki, A. (2014). Twitter users in science tweets linking to articles: the case of web of science articles with Iranian authors. In SIGMET workshop METRICS 2014. Seattle, WA: American Society for Information Science and Technology. Retrieved October 15 2020. https://www.researchgate.net/

Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. Journal of medical Internet research, 15(4), e85

Neiger, B. L., Thackeray, R., Burton, S. H., Giraud-Carrier, C. G., & Fagen, M. C. (2013). Evaluating social media’s capacity to develop engaged audiences in health promotion settings: use of Twitter metrics as a case study. Health promotion practice, 14(2), 157-162.

Nobel, Y. R., Phipps, M., Zucker, J., Lebwohl, B., Wang, T. C., Sobieszczyk, M. E., & Freedberg, D. E. (2020). Gastrointestinal symptoms and coronavirus disease 2019: a case-control study from the United States. Gastroenterology, 159(1), 373-375.

Nocera, A. P., Boyd, C. J., Boudreau, H., Hakim, O., & Rais-Bahrami, S. (2019). Examining the correlation between Altmetric score and citations in the urology literature. Urology, 134, 45-50.

Patil, S. B. (2020). A Scientometric Analysis of Global COVID-19 Research Based on Dimensions Database. Available at SSRN 3631795

Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: amanifesto. Retrieved Septamber 9 2020. http://altmetrics.org/manifesto/

Rowlands, I., Nicholas, D., Russell, B., Canty, N. & Watkinson, A. (2011). Social media use in the research workflow. Learned Publishing, 24(3), 183-195.

Shereen, M. A., Khan, S., Kazmi, A., Bashir, N., & Siddique, R. (2020). COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses. Journal of Advanced Research, 24, 91-98.

Shrivastava, S. R., & Shrivastava, P. S. (2020). Employing behavioral tool to define the response to corona virus disease-2019 pandemic in the European Region. Annals of Indian Psychiatry, 4(1), 96-97.

Stowell SR, Guarner J. (2020). Role of Serology in the Coronavirus Disease 2019 Pandemic. Clinical Infectious Diseases. Retrieved Septamber 9 2020. https://academic.oup.com/cid/

Waltman, L., & Costas, R. (2014). F1000 recommendations as a potential new data source for research evaluation: a comparison with citations. Journal of the Association for Information Science & Technology, 65 (3), 433-445.

Weiss, S. R. (2020). Forty years with coronaviruses. Journal of Experimental Medicine, 217(5), e20200537