Behind the Byline: A Large-Scale Study of Scientific Author Contributions

2025-05-10

AI Summary

This study addresses the ambiguity and lack of quantifiable assessment in author contribution allocation within scientific collaboration. Leveraging author contribution statements from over 400,000 papers, we construct the first large-scale computational framework for mapping free-text contributions to the 14 standardized CRediT roles. Our analysis reveals a significant gradient association between author position and task type: early-positioned authors predominantly perform experimental and analytical tasks, whereas last-positioned authors concentrate on leadership and management responsibilities. Within small teams, individual task loads vary by over threefold, with disparities scaling linearly with team size. We standardize 5.6 million author–task assignments across 1.58 million author mentions. This constitutes the first empirical demonstration that contemporary scientific collaboration exhibits a “position-driven” center–periphery division of labor and a hierarchical role stratification.

Technology Category

• Humans and AI: Teamwork, Team formation
• Application Domains: Humanities & Computational Social Science
• Cognitive Modeling & Cognitive Systems: Computational Creativity

Application Category

• Social Networks and Social Media: Computational social science
• Web Mining and Content Analysis: Bridging structured and unstructured data
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

Understanding how co-authors distribute credit is critical for accurately assessing scholarly collaboration. In this study, we uncover the implicit structures within scientific teamwork by systematically analyzing author contributions across a large corpus of research publications. We introduce a computational framework designed to convert free-text contribution statements into 14 standardized CRediT categories, identifying clear and consistent positional patterns in task assignments. By analyzing over 400,000 scientific articles from prominent sources such as PLOS One and Nature, we extracted and standardized more than 5.6 million author-task assignments corresponding to 1.58 million author mentions. Our analysis reveals substantial disparities in workload distribution. Notably, in small teams with three co-authors, the most engaged contributor performs over three times more tasks than the least engaged, a disparity that grows linearly with team size. This demonstrates a consistent pattern of central and peripheral roles within modern collaborative teams. Moreover, our analysis shows distinct positional biases in task allocation: technical responsibilities, such as software development and formal analysis, broadly fall to authors positioned earlier in the author list, whereas managerial tasks, including supervision and funding acquisition, increasingly concentrate among authors positioned toward the end. This gradient underscores a significant division of labor, where early-listed authors mainly undertake most hands-on activities. In contrast, senior authors mostly assume roles involving leadership and oversight. Our findings highlight the structured and hierarchical organization within scholarly collaborations, providing deeper insights into the specific roles and dynamics that govern academic teamwork

Problem

• Analyzing author contribution patterns in scientific collaborations
• Standardizing free-text contributions into 14 CRediT categories
• Revealing workload disparities and positional biases in teamwork

Innovation

• Computational framework standardizes free-text contributions
• Analyzes 400,000 articles with 5.6 million author-task assignments
• Reveals workload disparities and positional biases in teams