How do nuances of scientists’ attention influence what they discover? We pursue an understanding of the influences of patterns of attention on discovery with a case study about confirmations of protein-protein interactions over time. We find that modeling and accounting for attention can help us to recognize and interpret biases in databases of confirmed interactions and to better understand missing data and unknowns in our fund of knowledge.

中文翻译：

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论科学发现中的注意偏见

科学家注意的细微差别如何影响他们的发现？我们通过关于蛋白质-蛋白质相互作用随时间的确认的案例研究，寻求对注意力模式对发现的影响的理解。我们发现建模和关注注意力可以帮助我们识别和解释已确认相互作用的数据库中的偏见，并更好地了解我们的知识基金中的缺失数据和未知数。