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The Hidden Publishable Idea (HPI), a framework for identifying contributions most useful to readers, and the CitDL matrix, a two-by-two framework based on high and low download and citation performance are presented.
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Academic publishing in surgery has undergone profound change during the past several decades. Expansion of medical schools, residency programs, international academic centers, and digital publishing platforms has produced unprecedented growth in manuscript submissions and intensified competition for professional attention. Journals are judged both by readership, as measured by article downloads, and by scientific influence, as reflected in scholarly citation. At The American Surgeon , these changes prompted development of editorial frameworks designed to identify contributions most likely to matter to practicing surgeons and subsequent investigators. Many manuscripts contained observations whose significance was underrecognized by their authors. This observation led to the Hidden Publishable Idea (HPI), a framework for identifying contributions most useful to readers. Once identified, the HPI often revealed methodological limitations that imposed an evidentiary ceiling, preventing definitive conclusions while suggesting new hypotheses for future investigation. Analysis of downloads and citations suggested that readership and scholarly adoption are related but distinct outcomes. This observation led to development of the CitDL matrix, a two-by-two framework based on high and low download and citation performance. The editorial objective was not simply manuscript acceptance, but identification and development of contributions that could move manuscripts toward greater readership, greater scholarly engagement, or both. These concepts represent adaptive responses to the contemporary challenge of helping useful ideas find their audience and contribute to the advancement of surgical practice and science.
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@article{Nakayama2026Building,
title = {Building the Conversation: Editorial Stewardship in Contemporary Surgical Publishing},
author = {Don K. Nakayama},
journal = {The American Surgeon},
year = {2026},
doi = {10.1177/00031348261466124},
url = {https://doi.org/10.1177/00031348261466124}
}
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