- All abstracts have to be submitted in English.
- You can only submit one abstract as presenting (i.e. first) author.
- The number of abstracts you are a co-authoring is unlimited.
- Submit your abstract as Word file using the upload function of the abstract module.
- Use Arial font, size 12, with single line spacing.
- The word limit has been set at 350 words. Including title, authors and the affiliations of the presenting and last author solely.
Content related aspects: The abstract must relate to research that actually has been executed and should not merely present a plan. The results section should contain quantifiable data, rather than statements like ‘increased’ or ‘decreased’. Correlations and related p-values should be mentioned numerically. If your abstract e.g. presents a systematic review please include search terms and numbers on the papers studied etc..
Form related aspects: Plain text, so do not use bold, italic or underlined typefaces anywhere in the text of your abstract, including the titles of the subsections. Start your abstract with a short title (maximum 160 characters). First enter your name and the names of the co-authors as given in the following example: Affiliation(s) of all authors, followed by current e-mail address of the presenting (first) author. Let the text flow (do not use returns between affiliations). The abstract must be structured. Use the following subsections: Background, Methods, Results, Discussion/Conclusion. One or two sentences should describe the methods. The sentences stating the results must include quantifiable data. Begin each subsection as a new paragraph (one return), but let the text within the subsections flow (no returns). Also, do not use white space between the subsections. The use of one figure or one table is permitted, but will be counted as 50 words. Please upload your figure or table as separate attachment.
Please note: Abstracts that do NOT contain quantifiable data and/or are not structured may not be eligible for review and if reviewed will achieve low scores rendering the abstract at the risk of not being accepted.