应用层次分析法研究生物医学论文作者的贡献

Apportionment of co-authors＇ contribution for a biomedical scientific paper： An analytical process approach

目的 应用层次分析法研究生物医学论文作者的贡献.方法 确定生物医学论文的贡献之处的重要指标,再将这些指标分类、整理成层级化的结构.应用层次分析法确定层级化结构一级指标和二级指标的贡献权重值,权重值通过一致性检验即是下次指标对上级指标的贡献值.结果 在5个初级维度指标,提出科学问题的贡献值最大,为0.4355,其次为设计方案和分析数据,贡献值分别是0.2873和0.1521.在10个次级维度指标中,建立假设、制定方案、解释数据和修订文稿的贡献值较大,分别为0.9、0.6667、0.8和0.833.结论 层次分析法可有效量化生物医学论文作者的贡献.

Objective To determine co-author contribution for a biomedical scientific paper de- scribing collaborative research by an analytical process model. Methods The important features of contribution were identified, categorized and organized into a logical hierarchy consisting of the main dimensions and sub dimensions. A face-to-face survey was conducted to obtain data about their relative importance from co-authors. Analytical hierarchy process methodology was used to determine the rela- tive important weights from main dimensions and sub-dimensions along with the consistency. Results Among the 5 main dimensions, all authors considered problem statement as the most important with a weight of 0. 4355, and considered research design and data analysis taking the 2nd and 3rd positions. Among the 10 sub-dimensions, hypothesis construction, method development, result interpretation, and critical revision of manuscript were considered the most important contributions. Conclusion Ana- lytical hierarchy process effectively supportto establish the co-authors＇ priorties for a biomedical scientific paper.