The prominent and heterogeneous gender disparities in scientific novelty: evidence from biomedical doctoral theses
Meijun Liu, Zihan Xie, Alex Jie Yang, Chao Yu, Jian Xu, Ying Ding, Yi, Bu

TL;DR
This study analyzes gender disparities in scientific novelty among biomedical Ph.D. theses, revealing persistent lower novelty levels for female students, especially under female advisors and at non-top-tier universities, with implications for policy and gender equity.
Contribution
It provides a comprehensive, data-driven analysis of gender differences in scientific novelty in biomedical doctoral research, highlighting the influence of advisor gender and institutional tier.
Findings
Female students exhibit lower scientific novelty than males.
Theses supervised by female advisors are less novel.
Gender disparities are more pronounced at non-top-tier universities.
Abstract
Scientific novelty is the essential driving force for research breakthroughs and innovation. However, little is known about how early-career scientists pursue novel research paths, and the gender disparities in this process. To address this research gap, this study investigates a comprehensive dataset of 279,424 doctoral theses in biomedical sciences authored by US Ph.D. graduates. Spanning from 1980 to 2016, the data originates from the ProQuest Dissertations & Theses Database. This study aims to shed light on Ph.D. students' pursuit of scientific novelty in their doctoral theses and assess gender-related differences in this process. Using a combinatorial approach and a pre-trained Bio-BERT model, we quantify the scientific novelty of doctoral theses based on bio-entities. Applying fractional logistic and quantile regression models, this study reveals a decreasing trend in scientific…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topicsscientometrics and bibliometrics research · Academic Writing and Publishing · Health and Medical Research Impacts
