New Online Member Benefit

Ophthalmology Retina Cover thumbnail

We are excited to share that all 32,000 Academy members will have free online access to Ophthalmology Retina beginning January 2021. As a member benefit, you will have access to the latest in-press content, updated every day.

Ophthalmology Retina first published January 2017 and started out as a bi-monthly peer-reviewed journal. The Academy launched the journal in response to the growing volume of high-quality research within the retina subspecialty of ophthalmology. It has since provided a much-needed new channel and began publishing monthly in 2018. Ophthalmology Retina was accepted into PubMed/MEDLINE in 2019 and all published articles from Volume 1, Issue 1 are searchable in PubMed.

You can access Ophthalmology Retina by logging into aao.org using your member login and password. Once you’ve logged in, go to the Journals section where you can access Ophthalmology Retina and 13 other peer-reviewed global journals accessible through the journals portal of the Academy’s Ophthalmic News and Education (ONE®) Network. As an Academy member, you will also receive monthly eTable of Contents delivered via email where you can preview upcoming issues.

We hope this new member benefit will better serve the scientific and ophthalmic communities.

Andrew P. Schachat, M.D.
Cleveland, OH

Ophthalmology Retina is entering its fifth year of publication. Six issues were published in our first year, 2017, and there have been monthly issues since 2018. Beginning with the January, 2021 issue, the journal will be offered electronically to all 32,000 American Academy of Ophthalmology (AAO) members as a “member benefit” so e-access will be available gratis. Academy members who have self-designated as retina specialists will receive a print version as well and all subscribers can purchase a print subscription for a nominal fee at the Academy store ( https://store.aao.org/shop-by.html ).

This journal is a member of the AAO journal family lead by the flagship journal, Ophthalmology. In addition to Ophthalmology Retina and Ophthalmology Glaucoma (available by subscription but a member benefit for American Glaucoma Society members) the family also includes Ophthalmology Science, the Academy’s newest journal. Ophthalmology Science, edited by Emily Chew, M.D., is an on line only open access journal so available to all at no charge and focuses on pre-clinical and translational eye related topics.

Ophthalmology Retina in indexed in MedLine and PubMed; there is a multi-year process, now underway, to obtain a so called “impact factor.” The impact factor is a measure of how many times a paper is cited by other authors in the two years following publication. Ophthalmology’s impact factor is about 8.5. Ophthalmology Retina has already seen a substantial impact. For example, a paper by Lee and colleagues on using deep learning to classify normal vs. age-related macular degeneration in the first volume has been cited 140 times to date.[1] Of course, our typical paper is cited less often so our impact factor, assuming the application is approved, will be much lower. But, while a “new kid on the block,” we do have a real impact.

When you click through our pages, what will you see? What you will not see is low quality, “also ran” submissions. The acceptance rate for the main journal, Ophthalmology, is currently about 6% so one of every sixteen or so manuscripts is accepted. But, we receive easily two to three times as many good, valid and interesting retina submissions than there is space to accept. While de novo manuscripts can be submitted directly to Ophthalmology Retina , we also receive “cascaded” manuscripts, favorably reviewed by main journal editors and reviewers, but felt to be somewhat specialized or esoteric for the general readership of the main journal. If you want to keep up to date with clinical retina, please click through our pages and learn. A privilege of being a journal editor is having a daily and up close water hose of new information coming at me; I learn every day. Please join me and welcome to each and every one of you.


[1] Lee SL, Baughman BS, Lee AY. Deep learning is effective for classifying normal versus age-related macular degeneration OCT images. Ophthalmology Retina 2017’ 1: 332-327.

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