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Year	Number of Results
2020	2
2021	2
2022	0

Page 1

Cancer, aging and Twitter: A mixed methods evaluation of tweets about Geriatric Oncology (#gerionc) and Geriatric Hematology (#geriheme).

Jimenez-Sotomayor MR, Gómez-Moreno C, Aguilar-Velazco JC, Torres-Perez AC, Chavarri-Guerra Y, Dale W, Soto-Perez-de-Celis E. Jimenez-Sotomayor MR, et al. J Geriatr Oncol. 2020 Jul;11(6):1038-1040. doi: 10.1016/j.jgo.2020.01.008. Epub 2020 Jan 27. J Geriatr Oncol. 2020. PMID: 32001202 No abstract available.

The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media.

Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. Reuter K, et al. Rheumatology (Oxford). 2021 Oct 9;60(SI):SI77-SI84. doi: 10.1093/rheumatology/keab174. Rheumatology (Oxford). 2021. PMID: 33629107 Free PMC article.

Exploring Eating Disorder Topics on Twitter: Machine Learning Approach.

Zhou S, Zhao Y, Bian J, Haynos AF, Zhang R. Zhou S, et al. JMIR Med Inform. 2020 Oct 30;8(10):e18273. doi: 10.2196/18273. JMIR Med Inform. 2020. PMID: 33124997 Free PMC article.

Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study.

Reuter K, Angyan P, Le N, Buchanan TA. Reuter K, et al. JMIR Form Res. 2021 Nov 26;5(11):e29958. doi: 10.2196/29958. JMIR Form Res. 2021. PMID: 34842538 Free PMC article.

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