ArticleScientific data2019
A dataset of publication records for Nobel laureates.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
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- Evolving Artificial Intelligence (AI) at the Crossroads: Potentiating Productive vs. Declining Disruptive Cancer Research.Cancers · 2024Article
- Trajectories of biomedical research leading to Nobel Prize-winning discoveries.Annals of the New York Academy of Sciences · 2024Article
- SciSciNet: A large-scale open data lake for the science of science research.Scientific data · 2023Article
- Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines.Nature communications · 2023Article
- A construction and empirical research of the journal disruption index based on open citation data.Scientometrics · 2023Article
- Dataset of identified scholars mentioned in acknowledgement statements.Scientific data · 2022Article
- Deep forecasting of translational impact in medical research.Patterns (New York, N.Y.) · 2022Article
- Scientific X-ray: Scanning and quantifying the idea evolution of scientific publications.PloS one · 2022Article
- Winners and runners-up alike?-a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator.Humanities & social sciences communications · 2022Article
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- Computational Social Science and Sociology.Annual review of sociology · 2020Article
- Building a PubMed knowledge graph.Scientific data · 2020Article
- Scientific elite revisited: patterns of productivity, collaboration, authorship and impact.Journal of the Royal Society, Interface · 2020Article
- Article
- A dataset of publication records for Nobel laureates.Scientific data · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A central question in the science of science concerns how to develop a quantitative understanding of the evolution and impact of individual careers. Over the course of history, a relatively small fraction of individuals have made disproportionate, profound, and lasting impacts on science and society. Despite a long-standing interest in the careers of scientific elites across diverse disciplines, it remains difficult to collect large-scale career histories that could serve as training sets for systematic empirical and theoretical studies. Here, by combining unstructured data collected from CVs, university websites, and Wikipedia, together with the publication and citation database from Microsoft Academic Graph (MAG), we reconstructed publication histories of nearly all Nobel prize winners from the past century, through both manual curation and algorithmic disambiguation procedures. Data validation shows that the collected dataset presents among the most comprehensive collection of publication records for Nobel laureates currently available. As our quantitative understanding of science deepens, this dataset is expected to have increasing value. It will not only allow us to quantitatively probe novel patterns of productivity, collaboration, and impact governing successful scientific careers, it may also help us unearth the fundamental principles underlying creativity and the genesis of scientific breakthroughs.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.