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Percentage-based Author Contribution Index: a universal measure of author contribution to scientific articles

机译:基于百分比的作者贡献指数:作者对科学文章的贡献普遍衡量

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摘要

Abstract Background Deciphering the amount of work provided by different co-authors of a scientific paper has been a recurrent problem in science. Despite the myriad of metrics available, the scientific community still largely relies on the position in the list of authors to evaluate contributions, a metric that attributes subjective and unfounded credit to co-authors. We propose an easy to apply, universally comparable and fair metric to measure and report co-authors contribution in the scientific literature. Methods The proposed Author Contribution Index (ACI) is based on contribution percentages provided by the authors, preferably at the time of submission. Researchers can use ACI to compare the contributions of different authors, describe the contribution profile of a particular researcher or analyse how contribution changes through time. We provide such an analysis based on contribution percentages provided by 97 scientists from the field of ecology who voluntarily responded to an online anonymous survey. Results ACI is simple to understand and to implement because it is based solely on percentage contributions and the number of co-authors. It provides a continuous score that reflects the contribution of one author as compared to the average contribution of all other authors. For example, ACI(i) = 3, means that author i contributed three times more than what the other authors contributed on average. Our analysis comprised 836 papers published in 2014-2016 and revealed patterns of ACI values that relate to career advancement. Conclusion There are many examples of author contribution indices that have been proposed but none has really been adopted by scientific journals. Many of the proposed solutions are either too complicated, not accurate enough or not comparable across articles, authors and disciplines. The author contribution index presented here addresses these three major issues and has the potential to contribute to more transparency in the science literature. If adopted by scientific journals, it could provide job seekers, recruiters and evaluating bodies with a tool to gather information that is essential to them and cannot be easily and accurately obtained otherwise. We also suggest that scientists use the index regardless of whether it is implemented by journals or not.
机译:摘要背景解读科学论文的不同共同作者提供的工作量一直是科学的反复出现问题。尽管有无数的指标,但科学界仍然依赖于提交人名单中的职位,以评估捐款,该公制将主观和对共同作者的信贷属于主观和毫无根据的信用。我们提出了一种易于申请,普遍的可比和公正的公制来衡量和报告科学文学中的共同作者。方法拟议的作者缴费指数(ACI)是基于作者提供的贡献百分比,最好是在提交时提供。研究人员可以使用ACI来比较不同作者的贡献,描述了特定研究人员的贡献概况或分析了如何通过时间改变贡献。我们根据97家科学家提供的贡献百分比,从生态领域提供的贡献百分比,他们自愿回应在线匿名调查。结果ACI易于理解和实施,因为它完全基于占贷款百分比和共同作者的数量。它提供了一个连续的分数,与所有其他作者的平均贡献相比,一个人反映了一个作者的贡献。例如,ACI(i)= 3表示作者我的贡献了三倍,而不是其他作者平均贡献的时间。我们的分析包括2014 - 2016年836篇论文,并透露了与职业发展有关的ACI值模式。结论提出了许多作者贡献指标的例子,但没有人真正被科学期刊采用。许多提议的解决方案要么过于复杂,而不是足够的或不可准于文章,作者和学科。作者贡献指数在这里呈现了这三个主要问题,并有可能在科学文献中有助于更透明。如果科学期刊采用,它可以提供求职者,招聘人员和评估机构,以收集对他们至关重要的信息,并不能轻易准确地获得。我们还建议科学家使用该指数,无论其是否由期刊实现。

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