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Who should be credited as an author?
The International Committee of of Medical Journal Editors maintains a list of suggested criteria all authors should meet to be included on a paper:
- Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; AND
- Drafting the work or revising it critically for important intellectual content; AND
- Final approval of the version to be published; AND
- Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Extenuating circumstances might prevent all authors on a paper from meeting these criteria, but this should be used as a guide during the planning stages of writing the document. Any contributors not meeting these requirements should be included in the acknowledgements.
If issues or disagreements regarding authorship arise, please consult the NIH Processes for Authorship Dispute Resolution
How to state your affiliation
A complete affiliation statement helps the institution, especially the Library, track your scholarly contributions. In addition, it makes it more likely that these publications will show up in your researcher profile, the annual review, the NewPubs report, and various other reports.
Please try to include as much of the following information as possible in your affiliation statement.
|Department and/or division (official list here)
Division of Infectious Diseases, Department of Medicine
Department of Obstetrics and Gynecology
HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al‐Saud Institute for Computational Biomedicine
Samuel J. Wood Library
Weill Cornell Medicine
Weill Cornell Graduate School of Medical Sciences
NewYork–Presbyterian Hospital, Weill Cornell Medical Center
|Address of institution
||1300 York Avenue, New York, NY, 10065
When possible, please also provide your ORCID ID as is required by some journals and funding bodies.
Subjects: Bibliographic Management
, Bioinformatics, Genomics, Genetics
, Data-Intensive Research
, Evidence-Based Medicine
, Information Technology
, Molecular Biology
, Science and Technology
, Statistics & Data