Ophthalmology residency programs on social media

[1] Tso HL(2021)The impact of away rotations on the ophthalmology residency match J Acad Ophthalmol 13 e19-e25

[2] Young J(2021)The effect of the COVID-19 pandemic on orthopaedic residency program social media utilization JB JS Open Access 12 e110-e114

[3] Boente CS(2020)A characterization of ophthalmology residency program social media presence and activity J Acad Ophthalmol 50 449-458

[4] Yung CW(2022)Social media and ophthalmology: a review Clin Exp Ophthalmol 16 685-694

[5] Holderread BM(2022)Ophthalmology and social media: An in-depth investigation of ophthalmologic content on Instagram Clin Ophthalmol 134 617-625

[6] Liu J(2020)Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020 Euro Surveill 134 1024-920

[7] Wininger AE(2019)Online health information seeking among US adults: measuring progress toward a healthy people 2020 objective Public Health Rep 59 910-e77

[8] Harris JD(2016)Surveillance tools emerging from search engines and social media data for determining eye disease patterns JAMA Ophthalmol 13 e73-330

[9] Liberman SR(2018)Clinical age-specific seasonal conjunctivitis patterns and their online detection in Twitter, blog, forum, and comment social media posts Invest Ophthalmol Vis Sci 32 324-2975

[10] Al-khersan H(2021)COVID-19 and the ophthalmology residency match: data from applicants’ perspectives J Acad Ophthalmol 26 2967-4

[1] Tso HL(2021)The impact of away rotations on the ophthalmology residency match J Acad Ophthalmol 13 e19-e25

[2] Young J(2021)The effect of the COVID-19 pandemic on orthopaedic residency program social media utilization JB JS Open Access 12 e110-e114

[3] Boente CS(2020)A characterization of ophthalmology residency program social media presence and activity J Acad Ophthalmol 50 449-458

[4] Yung CW(2022)Social media and ophthalmology: a review Clin Exp Ophthalmol 16 685-694

[5] Holderread BM(2022)Ophthalmology and social media: An in-depth investigation of ophthalmologic content on Instagram Clin Ophthalmol 134 617-625

[6] Liu J(2020)Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020 Euro Surveill 134 1024-920

[7] Wininger AE(2019)Online health information seeking among US adults: measuring progress toward a healthy people 2020 objective Public Health Rep 59 910-e77

[8] Harris JD(2016)Surveillance tools emerging from search engines and social media data for determining eye disease patterns JAMA Ophthalmol 13 e73-330

[9] Liberman SR(2018)Clinical age-specific seasonal conjunctivitis patterns and their online detection in Twitter, blog, forum, and comment social media posts Invest Ophthalmol Vis Sci 32 324-2975

[10] Al-khersan H(2021)COVID-19 and the ophthalmology residency match: data from applicants’ perspectives J Acad Ophthalmol 26 2967-4